Triple

T18173352
Position Surface form Disambiguated ID Type / Status
Subject A Woman Named Jackie E435087 entity
Predicate executiveProducer P7225 FINISHED
Object Lester Persky 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: Lester Persky | Statement: [A Woman Named Jackie, executiveProducer, Lester Persky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lester Persky
Context triple: [A Woman Named Jackie, executiveProducer, Lester Persky]
  • A. Lester Persky chosen
    Lester Persky was an American film and television producer known for backing notable projects in Hollywood and independent cinema.
  • B. Lester Melroe
    Lester Melroe was an American inventor and entrepreneur best known for developing the compact skid-steer loader that led to the creation of the Bobcat brand.
  • C. Lester Germer
    Lester Germer was an American physicist best known for the Davisson–Germer experiment, which provided key evidence for the wave nature of electrons and helped confirm quantum mechanics.
  • D. Lester Cohen
    Lester Cohen was an American college student and organizer best known for co-founding the Sigma Alpha Mu fraternity in the early 20th century.
  • E. Lester Cohen
    Lester Cohen was an American screenwriter and author active in early 20th-century Hollywood, known for adapting stories for film.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df583a8081908c07d3534091c2ae completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.