Triple

T7837211
Position Surface form Disambiguated ID Type / Status
Subject The Great Gatsby (2000 film) E181716 entity
Predicate director P255 FINISHED
Object Robert Markowitz E346551 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: Robert Markowitz | Statement: [The Great Gatsby (2000 film), director, Robert Markowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Markowitz
Context triple: [The Great Gatsby (2000 film), director, Robert Markowitz]
  • A. Robert Markowitz chosen
    Robert Markowitz is an American film and television director known for his work on numerous made-for-TV movies and miniseries.
  • B. Donald Markowitz
    Donald Markowitz is a songwriter best known for co-writing the Academy Award–winning hit "(I've Had) The Time of My Life" from the film Dirty Dancing.
  • C. Michael Markowitz
    Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
  • D. Mitch Markowitz
    Mitch Markowitz is an American screenwriter best known for writing the acclaimed 1987 Robin Williams film "Good Morning, Vietnam."
  • E. Stuart Markowitz
    Stuart Markowitz is a central attorney character on the television legal drama "L.A. Law," known for his earnest demeanor and complex personal and professional relationships.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c203b4819099c039c617628927 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aad325c8190bced57e8380bc729 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:46 p.m.