Triple

T3551189
Position Surface form Disambiguated ID Type / Status
Subject Jack Swigert E75113 entity
Predicate portrayedBy P1507 FINISHED
Object Kevin Bacon E74573 NE FINISHED

How this triple was built (2 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 Bacon | Statement: [Jack Swigert, portrayedBy, Kevin Bacon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Bacon
Context triple: [Jack Swigert, portrayedBy, Kevin Bacon]
  • A. Kevin Bacon chosen
    Kevin Bacon is an American actor and producer known for his versatile film and television roles and for inspiring the pop-culture concept of "Six Degrees of Kevin Bacon."
  • B. Gil Bellows
    Gil Bellows is a Canadian actor best known for his roles in films like The Shawshank Redemption and the television series Ally McBeal.
  • C. James Woods
    James Woods is an American actor known for his intense performances in film and television, including acclaimed roles in movies such as "Salvador," "Videodrome," and "Casino."
  • D. John Goodman
    John Goodman is an American actor known for his roles in the sitcom "Roseanne," numerous Coen brothers films, and for voicing Sulley in Pixar's "Monsters, Inc." franchise.
  • E. John C. Reilly
    John C. Reilly is an American actor known for his versatile performances in both dramatic films and broad comedies, including roles in movies like "Chicago," "Boogie Nights," and "Step Brothers."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd52f44819088e07139fe987e2a completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9218448190ae432ae74c0a6916 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.