Triple

T18261237
Position Surface form Disambiguated ID Type / Status
Subject Kill Your Darlings (2013 film) E437360 entity
Predicate producer P490 FINISHED
Object Michael Benaroya 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: Michael Benaroya | Statement: [Kill Your Darlings (2013 film), producer, Michael Benaroya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Benaroya
Context triple: [Kill Your Darlings (2013 film), producer, Michael Benaroya]
  • A. Michael Benaroya chosen
    Michael Benaroya is an American film producer and financier known for backing a range of independent and genre films through his company Benaroya Pictures.
  • B. Greg Medavoy
    Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
  • C. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • D. Tim Bessolo
    Tim Bessolo is an individual recognized by the NCAA with its prestigious Award of Valor for extraordinary courage and heroism.
  • E. Donald Baechler
    Donald Baechler was an American contemporary artist known for his bold, graphic paintings and collages that combined childlike imagery with sophisticated art-historical references.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7591b4819083f2b29d60298747 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.