Triple

T19876660
Position Surface form Disambiguated ID Type / Status
Subject Jake Eberts E477655 entity
Predicate awardReceived P11 FINISHED
Object Academy Award for Best Picture (as producer of Driving Miss Daisy)
The Academy Award for Best Picture (as producer of Driving Miss Daisy) is the Oscar given to recognize the film Driving Miss Daisy as the year's outstanding motion picture, honoring its producers for overall excellence in filmmaking.
E1399844 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Academy Award for Best Picture (as producer of Driving Miss Daisy) | Statement: [Jake Eberts, awardReceived, Academy Award for Best Picture (as producer of Driving Miss Daisy)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture (as producer of Driving Miss Daisy)
Context triple: [Jake Eberts, awardReceived, Academy Award for Best Picture (as producer of Driving Miss Daisy)]
  • A. Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film)
    The Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film) is the Oscar given to the film "Driving Miss Daisy," recognizing it as the year's best motion picture, with Bruce Beresford serving as its director.
  • B. Academy Award for Best Picture (as producer of Three Billboards Outside Ebbing, Missouri)
    The Academy Award for Best Picture (as producer of Three Billboards Outside Ebbing, Missouri) is a nomination recognizing the film’s producers for their work on the critically acclaimed 2017 darkly comic drama about a mother’s quest for justice in a small Missouri town.
  • C. Academy Award for Best Picture (as producer of Minari)
    The Academy Award for Best Picture (as producer of Minari) is the Oscar nomination recognizing the film "Minari" as one of the year's outstanding motion pictures, with Steven Yeun credited among its producers.
  • D. Academy Award for Best Picture (as CODA producer)
    The Academy Award for Best Picture (as CODA producer) is the Oscar recognizing the film "CODA" as the year's outstanding motion picture, honoring its producing team including Sian Heder.
  • E. Academy Award for Best Picture (as producer of Goodfellas)
    The Academy Award for Best Picture (as producer of Goodfellas) is the Oscar nomination recognizing Barbara De Fina’s role in producing Martin Scorsese’s acclaimed 1990 crime film "Goodfellas."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Academy Award for Best Picture (as producer of Driving Miss Daisy)
Triple: [Jake Eberts, awardReceived, Academy Award for Best Picture (as producer of Driving Miss Daisy)]
Generated description
The Academy Award for Best Picture (as producer of Driving Miss Daisy) is the Oscar given to recognize the film Driving Miss Daisy as the year's outstanding motion picture, honoring its producers for overall excellence in filmmaking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture (as producer of Driving Miss Daisy)
Target entity description: The Academy Award for Best Picture (as producer of Driving Miss Daisy) is the Oscar given to recognize the film Driving Miss Daisy as the year's outstanding motion picture, honoring its producers for overall excellence in filmmaking.
  • A. Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film)
    The Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film) is the Oscar given to the film "Driving Miss Daisy," recognizing it as the year's best motion picture, with Bruce Beresford serving as its director.
  • B. Academy Award for Best Picture (as producer of Three Billboards Outside Ebbing, Missouri)
    The Academy Award for Best Picture (as producer of Three Billboards Outside Ebbing, Missouri) is a nomination recognizing the film’s producers for their work on the critically acclaimed 2017 darkly comic drama about a mother’s quest for justice in a small Missouri town.
  • C. Academy Award for Best Picture (as producer of Minari)
    The Academy Award for Best Picture (as producer of Minari) is the Oscar nomination recognizing the film "Minari" as one of the year's outstanding motion pictures, with Steven Yeun credited among its producers.
  • D. Academy Award for Best Picture (as CODA producer)
    The Academy Award for Best Picture (as CODA producer) is the Oscar recognizing the film "CODA" as the year's outstanding motion picture, honoring its producing team including Sian Heder.
  • E. Academy Award for Best Picture (as producer of Goodfellas)
    The Academy Award for Best Picture (as producer of Goodfellas) is the Oscar nomination recognizing Barbara De Fina’s role in producing Martin Scorsese’s acclaimed 1990 crime film "Goodfellas."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc82f0881909556c54b8ce3533f completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc854a0c8190b0da81ead6b9cfc1 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd45e93c8190b14c23487398a8ec completed May 16, 2026, 2:58 a.m.
Created at: April 10, 2026, 1:52 p.m.