Triple

T22039475
Position Surface form Disambiguated ID Type / Status
Subject Sarah Greenwood E544300 entity
Predicate nominatedFor P1791 FINISHED
Object Academy Award for Best Production Design for Atonement (2007 film)
The Academy Award for Best Production Design for Atonement (2007 film) is a prestigious Oscar nomination recognizing the film’s outstanding art direction and set design work.
E1515188 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 Production Design for Atonement (2007 film) | Statement: [Sarah Greenwood, nominatedFor, Academy Award for Best Production Design for Atonement (2007 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Production Design for Atonement (2007 film)
Context triple: [Sarah Greenwood, nominatedFor, Academy Award for Best Production Design for Atonement (2007 film)]
  • A. Academy Award for Best Production Design for Poor Things
    The Academy Award for Best Production Design for "Poor Things" is the Oscar recognizing the film’s outstanding achievement in art direction and set design.
  • B. BAFTA Award for Best Production Design
    The BAFTA Award for Best Production Design is a British Academy Film Award recognizing outstanding achievement in the visual and spatial design of a film’s sets and environments.
  • C. AFI Award for Best Production Design
    The AFI Award for Best Production Design is an Australian film industry accolade presented by the Australian Film Institute to recognize outstanding achievement in the visual and spatial design of a film’s sets and environments.
  • D. Satellite Award for Best Art Direction & Production Design (nomination)
    The Satellite Award for Best Art Direction & Production Design (nomination) is a category of the Satellite Awards recognizing outstanding achievement in a film’s visual design, including its sets, locations, and overall production aesthetics.
  • E. Academy Award for Best Art Direction
    The Academy Award for Best Art Direction is a former Oscar category that honored outstanding achievement in a film’s overall visual design, including sets and decor, now encompassed by the Best Production Design award.
  • 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 Production Design for Atonement (2007 film)
Triple: [Sarah Greenwood, nominatedFor, Academy Award for Best Production Design for Atonement (2007 film)]
Generated description
The Academy Award for Best Production Design for Atonement (2007 film) is a prestigious Oscar nomination recognizing the film’s outstanding art direction and set design work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Production Design for Atonement (2007 film)
Target entity description: The Academy Award for Best Production Design for Atonement (2007 film) is a prestigious Oscar nomination recognizing the film’s outstanding art direction and set design work.
  • A. Academy Award for Best Production Design for Poor Things
    The Academy Award for Best Production Design for "Poor Things" is the Oscar recognizing the film’s outstanding achievement in art direction and set design.
  • B. BAFTA Award for Best Production Design
    The BAFTA Award for Best Production Design is a British Academy Film Award recognizing outstanding achievement in the visual and spatial design of a film’s sets and environments.
  • C. AFI Award for Best Production Design
    The AFI Award for Best Production Design is an Australian film industry accolade presented by the Australian Film Institute to recognize outstanding achievement in the visual and spatial design of a film’s sets and environments.
  • D. Satellite Award for Best Art Direction & Production Design (nomination)
    The Satellite Award for Best Art Direction & Production Design (nomination) is a category of the Satellite Awards recognizing outstanding achievement in a film’s visual design, including its sets, locations, and overall production aesthetics.
  • E. Academy Award for Best Art Direction
    The Academy Award for Best Art Direction is a former Oscar category that honored outstanding achievement in a film’s overall visual design, including sets and decor, now encompassed by the Best Production Design award.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f532b08190be80c5af039b4c29 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b6d4f2c8190b1d8fb2044cdc3d5 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c4736808190bd04e03adcb2d97b completed May 18, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d80f9c08190b18e04b9e9cf47a5 completed May 18, 2026, 2:46 a.m.
Created at: April 16, 2026, 8:25 p.m.