Triple

T18943741
Position Surface form Disambiguated ID Type / Status
Subject Finding Steve McQueen E463452 entity
Predicate screenwriter P2831 FINISHED
Object Ken Hixon
Ken Hixon is an American screenwriter known for his work on crime and drama films, including the heist movie "Finding Steve McQueen."
E1379325 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: Ken Hixon | Statement: [Finding Steve McQueen, screenwriter, Ken Hixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Hixon
Context triple: [Finding Steve McQueen, screenwriter, Ken Hixon]
  • A. Curtis Hixon
    Curtis Hixon was a prominent Tampa, Florida mayor and civic leader whose contributions to the city led to major public landmarks being named in his honor.
  • B. Phil Housley
    Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
  • C. Ken Hutchison
    Ken Hutchison was a Scottish actor known for his intense character roles in film and television during the 1970s and 1980s.
  • D. Mike Shoun
    Mike Shoun is a drummer best known for his work with the San Francisco-based garage rock and psychedelic band Thee Oh Sees.
  • E. Phil Hester
    Phil Hester is an American comic book artist and writer known for his work on titles such as Green Arrow, Swamp Thing, and The Irredeemable Ant-Man.
  • 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: Ken Hixon
Triple: [Finding Steve McQueen, screenwriter, Ken Hixon]
Generated description
Ken Hixon is an American screenwriter known for his work on crime and drama films, including the heist movie "Finding Steve McQueen."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ken Hixon
Target entity description: Ken Hixon is an American screenwriter known for his work on crime and drama films, including the heist movie "Finding Steve McQueen."
  • A. Curtis Hixon
    Curtis Hixon was a prominent Tampa, Florida mayor and civic leader whose contributions to the city led to major public landmarks being named in his honor.
  • B. Phil Housley
    Phil Housley is an American former professional ice hockey defenseman renowned as one of the highest-scoring blueliners in NHL history and later a coach at the league level.
  • C. Ken Hutchison
    Ken Hutchison was a Scottish actor known for his intense character roles in film and television during the 1970s and 1980s.
  • D. Mike Shoun
    Mike Shoun is a drummer best known for his work with the San Francisco-based garage rock and psychedelic band Thee Oh Sees.
  • E. Phil Hester
    Phil Hester is an American comic book artist and writer known for his work on titles such as Green Arrow, Swamp Thing, and The Irredeemable Ant-Man.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3ed847c8190a911a61673608a5c completed April 20, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07470390208190be9956c308a7e194 completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a074816e3148190899185537229cb11 completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0748991f388190b72d1fbb986f5db8 completed May 15, 2026, 4:23 p.m.
Created at: April 10, 2026, 11:59 a.m.