Triple

T23023227
Position Surface form Disambiguated ID Type / Status
Subject Over Her Dead Body E573225 entity
Predicate producer P490 FINISHED
Object Peter Safran 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: Peter Safran | Statement: [Over Her Dead Body, producer, Peter Safran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Safran
Context triple: [Over Her Dead Body, producer, Peter Safran]
  • A. Peter Safran chosen
    Peter Safran is a British-American film producer and manager best known for producing major horror franchises like The Conjuring universe and DC superhero films, and for serving as co-chair and CEO of DC Studios.
  • B. Michael Rohatyn
    Michael Rohatyn is a film composer best known for scoring independent movies such as the drama anthology "Personal Velocity."
  • C. Peter Melnick
    Peter Melnick is an American composer known for his film and television scores, including his work on the romantic comedy "L.A. Story."
  • D. Michael Aizenman
    Michael Aizenman is a mathematical physicist renowned for his influential work in statistical mechanics, probability theory, and quantum field theory.
  • E. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183ea23088190b2f42d9bf01514ac completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.