Triple

T2900699
Position Surface form Disambiguated ID Type / Status
Subject Rita Wilson E62645 entity
Predicate hasChild P369 FINISHED
Object Truman Hanks E63859 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: Truman Hanks | Statement: [Rita Wilson, hasChild, Truman Hanks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Truman Hanks
Context triple: [Rita Wilson, hasChild, Truman Hanks]
  • A. Chet Hanks chosen
    Chet Hanks is an American actor and musician, known both for his roles in film and television and for being the son of actor Tom Hanks.
  • B. Clint Howard
    Clint Howard is an American character actor known for his numerous supporting roles in film and television, often appearing in projects directed by his brother Ron Howard.
  • C. 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.
  • D. Tom Hanks
    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."
  • E. Sam Hamm
    Sam Hamm is an American screenwriter best known for co-writing Tim Burton’s 1989 film "Batman" and contributing to other comic book–related projects.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b081308190af8875151fb11c4e completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108cc4870819081e68032517468a8 completed March 11, 2026, 6:16 a.m.
Created at: March 6, 2026, 10:10 p.m.