Triple

T15310869
Position Surface form Disambiguated ID Type / Status
Subject The Way of the Gun E366031 entity
Predicate editedBy P1954 FINISHED
Object Stephen Semel E757316 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: Stephen Semel | Statement: [The Way of the Gun, editedBy, Stephen Semel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Semel
Context triple: [The Way of the Gun, editedBy, Stephen Semel]
  • A. Stephen Semel chosen
    Stephen Semel is an American film and television editor known for his work on various feature films and TV series.
  • B. Brad Segal
    Brad Segal is a composer and musician best known for creating film scores, including the soundtrack for the teen comedy "Easy A."
  • C. Todd Lieberman
    Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
  • D. Greg Shapiro
    Greg Shapiro is an American film producer best known for his Academy Award-winning work on "The Hurt Locker" and other notable independent and studio films.
  • E. Jeremy Kleiner
    Jeremy Kleiner is an American film producer known for his work on acclaimed films such as the civil rights drama "Selma."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a20c1881909b387aed6f532c3d completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.