Triple

T22210799
Position Surface form Disambiguated ID Type / Status
Subject Lena Olin E548937 entity
Predicate workedWith P398 FINISHED
Object Paul Mazursky NE NERFINISHED

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: Paul Mazursky | Statement: [Lena Olin, workedWith, Paul Mazursky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Mazursky
Context triple: [Lena Olin, workedWith, Paul Mazursky]
  • A. Paul Mazursky chosen
    Paul Mazursky was an American film director, screenwriter, and actor known for his sharp, character-driven social comedies and satires in the 1960s through the 1980s.
  • B. 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.
  • 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. Barry Levinson
    Barry Levinson is an American filmmaker and screenwriter best known for directing acclaimed films such as "Rain Man," "Diner," and "Good Morning, Vietnam."
  • E. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2bcf748190a9721f0c9ae17e70 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.