Triple

T3239421
Position Surface form Disambiguated ID Type / Status
Subject Murphy E67931 entity
Predicate hasNotableBearer P458 FINISHED
Object John Murphy E213975 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: John Murphy | Statement: [Murphy, hasNotableBearer, John Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Murphy
Context triple: [Murphy, hasNotableBearer, John Murphy]
  • A. John Murphy chosen
    John Murphy is a British film composer known for his energetic, guitar-driven scores for movies such as "28 Days Later," "Sunshine," and "The Suicide Squad."
  • B. Larry Murphy
    Larry Murphy is a central father figure in the musical "Dear Evan Hansen," grappling with grief, emotional distance, and the complexities of family relationships.
  • C. Sean McDonough
    Sean McDonough is an American sportscaster best known for his long career calling Major League Baseball and college sports on national television.
  • D. Dennis Murphy
    Dennis Murphy was an American sports entrepreneur best known for co-founding several upstart professional leagues, including the American Basketball Association.
  • E. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef4c0bc819095e4f84296fe7cb6 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eadeff481909bd48cdf51044f86 completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:08 p.m.