Triple

T10124309
Position Surface form Disambiguated ID Type / Status
Subject To Live and Die in L.A. E226173 entity
Predicate screenwriter P2831 FINISHED
Object Gerald Petievich E854764 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: Gerald Petievich | Statement: [To Live and Die in L.A., screenwriter, Gerald Petievich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerald Petievich
Context triple: [To Live and Die in L.A., screenwriter, Gerald Petievich]
  • A. Gerald Petievich chosen
    Gerald Petievich is an American former Secret Service agent turned crime novelist known for his gritty, realistic thrillers, including the book that inspired the film "To Live and Die in L.A."
  • B. Alvin Ganzer
    Alvin Ganzer was an American film and television director best known for his work on mid-20th-century genre and anthology series.
  • C. Joseph Bortis
    Joseph Bortis was a 19th-century mountaineer known for participating in the pioneering first ascent of the Finsteraarhorn in the Swiss Alps.
  • D. Dennis Virkler
    Dennis Virkler was an American film editor known for his work on numerous Hollywood features, including major comedies and action films.
  • E. Ralph Koltai
    Ralph Koltai was a prominent British theatre designer renowned for his innovative, sculptural stage sets that transformed post-war European theatre aesthetics.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ebe4548190a484c145639d92f0 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7947e14c88190b9e33e3fbdcc16e5 completed April 9, 2026, 11:58 a.m.
Created at: March 30, 2026, 9:05 p.m.