Triple

T2351925
Position Surface form Disambiguated ID Type / Status
Subject Lucky Number Slevin E47466 entity
Predicate producer P490 FINISHED
Object Chris Roberts
Chris Roberts is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
E259288 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: Chris Roberts | Statement: [Lucky Number Slevin, producer, Chris Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Roberts
Context triple: [Lucky Number Slevin, producer, Chris Roberts]
  • A. Chuck Arnold
    Chuck Arnold is an American sports executive who serves as the president of the NFL’s Seattle Seahawks.
  • B. Mike Schafer
    Mike Schafer is a longtime head coach of the Cornell Big Red men's ice hockey team, known for leading the program to sustained success and multiple NCAA tournament appearances.
  • C. Phil Johnston
    Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
  • D. Ted Levine
    Ted Levine is an American character actor best known for his chilling portrayal of serial killer Buffalo Bill in the film "The Silence of the Lambs."
  • E. Jim Manzi
    Jim Manzi is an American businessman best known for leading Lotus Development Corporation as its CEO during the height of its success in the software industry.
  • 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: Chris Roberts
Triple: [Lucky Number Slevin, producer, Chris Roberts]
Generated description
Chris Roberts is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Roberts
Target entity description: Chris Roberts is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
  • A. Chuck Arnold
    Chuck Arnold is an American sports executive who serves as the president of the NFL’s Seattle Seahawks.
  • B. Mike Schafer
    Mike Schafer is a longtime head coach of the Cornell Big Red men's ice hockey team, known for leading the program to sustained success and multiple NCAA tournament appearances.
  • C. Phil Johnston
    Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
  • D. Ted Levine
    Ted Levine is an American character actor best known for his chilling portrayal of serial killer Buffalo Bill in the film "The Silence of the Lambs."
  • E. Jim Manzi
    Jim Manzi is an American businessman best known for leading Lotus Development Corporation as its CEO during the height of its success in the software industry.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9631c9a481909a3051ac06afdca7 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae97f3e3348190824617b882a98146 completed March 9, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ae98f57268819086c14006df46b794 completed March 9, 2026, 9:55 a.m.
Created at: March 4, 2026, 7:54 p.m.