Triple

T713032
Position Surface form Disambiguated ID Type / Status
Subject Angels & Demons E14249 entity
Predicate leadActor P1507 FINISHED
Object Tom Hanks E10383 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: Tom Hanks | Statement: [Angels & Demons, leadActor, Tom Hanks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Hanks
Context triple: [Angels & Demons, leadActor, Tom Hanks]
  • A. Tom Hanks chosen
    Tom Hanks is an acclaimed American actor and filmmaker renowned for his versatile performances in films such as "Forrest Gump," "Saving Private Ryan," and "Cast Away."
  • B. George Clooney
    George Clooney is an American actor, filmmaker, and activist renowned for his work in film and television as well as his humanitarian and political advocacy.
  • C. Kevin Bacon
    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."
  • D. 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."
  • E. Tim Robbins
    Tim Robbins is an American actor, director, and producer best known for his roles in films such as The Shawshank Redemption, Mystic River, and Bull Durham.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55ee4fc81909358659ec3bc435f completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9140148190a439ac7a03ee88b2 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:36 p.m.