Triple

T15310867
Position Surface form Disambiguated ID Type / Status
Subject The Way of the Gun E366031 entity
Predicate musicBy P1952 FINISHED
Object Joe Kraemer E947732 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: Joe Kraemer | Statement: [The Way of the Gun, musicBy, Joe Kraemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Kraemer
Context triple: [The Way of the Gun, musicBy, Joe Kraemer]
  • A. Joe Kraemer chosen
    Joe Kraemer is an American film composer best known for his scores for action and thriller films, including several collaborations with director Christopher McQuarrie.
  • B. Jeff Kramer
    Jeff Kramer is a prominent computer scientist recognized for his influential contributions to software engineering research.
  • C. Barry Kroeger
    Barry Kroeger was an American character actor known for his distinctive villainous roles in mid-20th-century film and television.
  • D. Ray Heindorf
    Ray Heindorf was an American composer, arranger, and musical director best known for his work on numerous Hollywood film scores during the mid-20th century.
  • E. Ken Krueger
    Ken Krueger was an American publisher and bookseller best known as a pioneering figure in comics fandom and a key organizer in the early development of major comic conventions.
  • 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_6a008a1d8e088190a2168952ab5dc687 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 3:16 a.m.