Triple

T6697551
Position Surface form Disambiguated ID Type / Status
Subject Richard Markowitz E152788 entity
Predicate name P16 FINISHED
Object Richard Markowitz E152788 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: Richard Markowitz | Statement: [Richard Markowitz, name, Richard Markowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Markowitz
Context triple: [Richard Markowitz, name, Richard Markowitz]
  • A. Richard Markowitz chosen
    Richard Markowitz was an American film and television composer best known for scoring numerous Westerns and popular TV series in the mid-20th century.
  • B. Nicholas Markowitz
    Nicholas Markowitz was a California teenager whose 2000 kidnapping and murder by a group of young men, including Jesse James Hollywood, inspired the film character Zack Mazursky in "Alpha Dog."
  • C. 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.
  • D. Michael Markowitz
    Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
  • E. Jason Katz
    Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a4da9881908d79c410b4cff868 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bd965881908a128d97f1c94dd0 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.