Triple

T9083996
Position Surface form Disambiguated ID Type / Status
Subject Neal H. Moritz E217703 entity
Predicate name P16 FINISHED
Object Neal H. Moritz E217703 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: Neal H. Moritz | Statement: [Neal H. Moritz, name, Neal H. Moritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neal H. Moritz
Context triple: [Neal H. Moritz, name, Neal H. Moritz]
  • A. Neal H. Moritz chosen
    Neal H. Moritz is an American film producer best known for his work on major Hollywood franchises such as the Fast & Furious series and numerous popular action and thriller films.
  • B. Bruce Yarnell
    Bruce Yarnell was an American baritone singer and stage and television actor known for his performances in Broadway musicals and operas during the 1960s.
  • C. Michael T. Sauer
    Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
  • D. Sheldon Lettich
    Sheldon Lettich is an American screenwriter and film director best known for his work on action films, including collaborations with Jean-Claude Van Damme and co-writing major Hollywood projects.
  • E. Richard C. Meyer
    Richard C. Meyer was a film editor known for his work on mid-20th-century American movies, including Westerns and genre films.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960b45fc8190adf4bdc41b103e86 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe38f0048190a9fb15e73d9bcd50 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.