Triple

T9015740
Position Surface form Disambiguated ID Type / Status
Subject The Good Thief E215588 entity
Predicate hasCastMember P2308 FINISHED
Object Nick Nolte E300488 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: Nick Nolte | Statement: [The Good Thief, hasCastMember, Nick Nolte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Nolte
Context triple: [The Good Thief, hasCastMember, Nick Nolte]
  • A. Nick Nolte chosen
    Nick Nolte is an American actor known for his rugged screen presence and acclaimed performances in films such as "The Prince of Tides," "Affliction," and "48 Hrs."
  • B. Jon Voight
    Jon Voight is an American actor acclaimed for his powerful performances in films such as "Midnight Cowboy," "Deliverance," and "Coming Home," for which he won the Academy Award for Best Actor.
  • C. Ned Beatty
    Ned Beatty was an acclaimed American character actor known for his powerful supporting roles in films such as "Deliverance," "Network," and "Superman."
  • D. Gene Hackman
    Gene Hackman is an acclaimed American actor known for his powerful, versatile performances in films such as "The French Connection," "The Conversation," and "Unforgiven."
  • E. Bruce Dern
    Bruce Dern is an acclaimed American character actor known for his intense, often villainous roles in films such as "Nebraska," "Coming Home," and numerous collaborations with directors like Quentin Tarantino.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fc0e4c819080b60456375f94cd completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047665204819090fe9c74fd64659e completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:06 p.m.