Triple

T23349104
Position Surface form Disambiguated ID Type / Status
Subject Kubo and the Two Strings E591956 entity
Predicate voiceCast P18510 FINISHED
Object Matthew McConaughey NE NERFINISHED

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: Matthew McConaughey | Statement: [Kubo and the Two Strings, voiceCast, Matthew McConaughey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew McConaughey
Context triple: [Kubo and the Two Strings, voiceCast, Matthew McConaughey]
  • A. Matthew McConaughey chosen
    Matthew McConaughey is an Academy Award–winning American actor known for his charismatic performances in films such as "Dallas Buyers Club," "Interstellar," and numerous romantic comedies.
  • B. Woody Harrelson
    Woody Harrelson is an American actor known for his versatile performances in film and television, including roles in projects like "Cheers," "Natural Born Killers," and "True Detective."
  • C. S. Scott Bullock
    S. Scott Bullock is an American voice actor known for his work in numerous animated television series and films.
  • D. Hayden Costner
    Hayden Costner is one of the children of American actor and filmmaker Kevin Costner.
  • E. Robert MacMurray
    Robert MacMurray is known primarily as the father of Lita Grey, the silent film actress and second wife of Charlie Chaplin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
Created at: April 17, 2026, 5:19 p.m.