Triple

T984941
Position Surface form Disambiguated ID Type / Status
Subject Alpha Dog E21257 entity
Predicate producer P490 FINISHED
Object Nick Cassavetes E115993 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 Cassavetes | Statement: [Alpha Dog, producer, Nick Cassavetes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Cassavetes
Context triple: [Alpha Dog, producer, Nick Cassavetes]
  • A. Nick Cassavetes chosen
    Nick Cassavetes is an American film director and actor known for helming emotionally driven dramas such as "The Notebook" and the crime drama "Alpha Dog."
  • B. John Cassavetes
    John Cassavetes was an influential American independent filmmaker and actor, renowned for his raw, improvisational style and pioneering role in modern character-driven cinema.
  • C. Hal Ashby
    Hal Ashby was an influential American film director and editor of the New Hollywood era, known for acclaimed, offbeat classics such as "Harold and Maude," "Shampoo," and "Being There."
  • D. Don Saroyan
    Don Saroyan was an American actor and television producer best known for his marriage to comedian and actress Carol Burnett.
  • E. Zack Mazursky
    Zack Mazursky is a fictional teenager in the crime drama film "Alpha Dog," whose kidnapping and murder are central to the movie’s plot, inspired by the real-life Nicholas Markowitz case.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4959fe48190a78bd811cbc888ab completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a14aec48190bc620cf492a82466 completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.