Triple

T2892502
Position Surface form Disambiguated ID Type / Status
Subject Chet Hanks E63859 entity
Predicate familyName P18 FINISHED
Object 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: Hanks | Statement: [Chet Hanks, familyName, Hanks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanks
Context triple: [Chet Hanks, familyName, 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. Afflecks
    Afflecks is an iconic indoor market and alternative shopping emporium in Manchester known for its independent retailers, vintage fashion, and vibrant subcultural atmosphere.
  • C. 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.
  • D. 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.
  • E. Tony Huston
    Tony Huston is an American screenwriter and former actor best known for writing the screenplay for the 1987 film adaptation of "The Dead," directed by his father John Huston.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe060f49c8190bc804614a141c738 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de8b9378819084861d65dd2b9528 completed March 11, 2026, 9:28 p.m.
Created at: March 6, 2026, 10:07 p.m.