Triple

T20492538
Position Surface form Disambiguated ID Type / Status
Subject The Limey E502780 entity
Predicate producer P490 FINISHED
Object Scott Kramer
Scott Kramer is a film producer best known for his work on the crime drama movie "The Limey."
 E1484239 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: Scott Kramer | Statement: [The Limey, producer, Scott Kramer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scott Kramer
Context triple: [The Limey, producer, Scott Kramer]
  • A. Jeff Kramer
    Jeff Kramer is a prominent computer scientist recognized for his influential contributions to software engineering research.
  • B. E. J. Kramer
    E. J. Kramer was a prominent materials scientist recognized for his influential contributions to the understanding and development of advanced structural and functional materials.
  • C. Ken Krueger
    Ken Krueger was an American publisher and bookseller best known as a pioneering figure in comics fandom and a key organizer in the early development of major comic conventions.
  • D. Chris Kramer
    Chris Kramer is an American professional basketball player known for his impactful play as a guard in European leagues, particularly in Germany.
  • E. Jeffrey Kramer
    Jeffrey Kramer is an American actor best known for his supporting roles in films and television series from the 1970s and 1980s, including the "Jaws" franchise.
  • 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: Scott Kramer
Triple: [The Limey, producer, Scott Kramer]
Generated description
Scott Kramer is a film producer best known for his work on the crime drama movie "The Limey."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scott Kramer
Target entity description: Scott Kramer is a film producer best known for his work on the crime drama movie "The Limey."
  • A. Jeff Kramer
    Jeff Kramer is a prominent computer scientist recognized for his influential contributions to software engineering research.
  • B. E. J. Kramer
    E. J. Kramer was a prominent materials scientist recognized for his influential contributions to the understanding and development of advanced structural and functional materials.
  • C. Ken Krueger
    Ken Krueger was an American publisher and bookseller best known as a pioneering figure in comics fandom and a key organizer in the early development of major comic conventions.
  • D. Chris Kramer
    Chris Kramer is an American professional basketball player known for his impactful play as a guard in European leagues, particularly in Germany.
  • E. Jeffrey Kramer
    Jeffrey Kramer is an American actor best known for his supporting roles in films and television series from the 1970s and 1980s, including the "Jaws" franchise.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c289750081908188a60ea7a0062f completed May 17, 2026, 1:28 p.m.
NEDg Description generation batch_6a09c2fba3348190a4d8317c6bf45687 completed May 17, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a09c383e0148190a54480a52c9bd34f completed May 17, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:35 a.m.