Triple

T3209724
Position Surface form Disambiguated ID Type / Status
Subject Rocky Balboa (2006 film) E67249 entity
Predicate producer P490 FINISHED
Object Kevin King
Kevin King is a film producer best known for his work on the 2006 sports drama "Rocky Balboa."
E340144 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: Kevin King | Statement: [Rocky Balboa (2006 film), producer, Kevin King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin King
Context triple: [Rocky Balboa (2006 film), producer, Kevin King]
  • A. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • B. Bob King
    Bob King was a prominent American college basketball coach best known for revitalizing the University of New Mexico Lobos program in the 1960s and establishing it as a national contender.
  • C. Tim Kingsbury
    Tim Kingsbury is a Canadian musician best known as a multi-instrumentalist and longtime member of the indie rock band Arcade Fire.
  • D. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • E. Kevin Chapman
    Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
  • 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: Kevin King
Triple: [Rocky Balboa (2006 film), producer, Kevin King]
Generated description
Kevin King is a film producer best known for his work on the 2006 sports drama "Rocky Balboa."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kevin King
Target entity description: Kevin King is a film producer best known for his work on the 2006 sports drama "Rocky Balboa."
  • A. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • B. Bob King
    Bob King was a prominent American college basketball coach best known for revitalizing the University of New Mexico Lobos program in the 1960s and establishing it as a national contender.
  • C. Tim Kingsbury
    Tim Kingsbury is a Canadian musician best known as a multi-instrumentalist and longtime member of the indie rock band Arcade Fire.
  • D. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • E. Kevin Chapman
    Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaab701c48190b91404ab416f7ce3 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27707577481909be867ffdb63d3b8 completed March 12, 2026, 8:19 a.m.
NEDg Description generation batch_69b27b390f10819099fdc25be0ca297b completed March 12, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_69b27ba3262c8190ad3a0e5bea079422 completed March 12, 2026, 8:38 a.m.
Created at: March 8, 2026, 3:07 p.m.