Triple

T13702750
Position Surface form Disambiguated ID Type / Status
Subject Fort Apache, The Bronx E328559 entity
Predicate mainCharacter P1183 FINISHED
Object Murphy
Murphy is the tough, streetwise New York City police officer portrayed by Paul Newman in the 1981 crime drama film "Fort Apache, The Bronx."
 E67931 NE FINISHED

How this triple was built (4 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: Murphy | Statement: [Fort Apache, The Bronx, mainCharacter, Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Murphy
Context triple: [Fort Apache, The Bronx, mainCharacter, Murphy]
  • A. Murphy
    Murphy is a residential suburb located within the Dallas metropolitan area in Texas.
  • B. Murphy
    Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
  • C. Murphy Cooper
    Murphy Cooper is a brilliant and determined scientist and the daughter of astronaut Joseph Cooper in the science-fiction film "Interstellar," whose research becomes pivotal to humanity's survival.
  • D. Murf
    Murf is a mysterious, gelatinous alien crew member in the animated series "Star Trek: Prodigy," known for its resilience, evolving abilities, and comic relief.
  • E. Murry
    Murry is a given name and surname that functions as a spelling variant of the more common name Murray.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Murphy
Triple: [Fort Apache, The Bronx, mainCharacter, Murphy]
Generated description
Murphy is the tough, streetwise New York City police officer portrayed by Paul Newman in the 1981 crime drama film "Fort Apache, The Bronx."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Murphy
Target entity description: Murphy is the tough, streetwise New York City police officer portrayed by Paul Newman in the 1981 crime drama film "Fort Apache, The Bronx."
  • A. Murphy chosen
    Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
  • B. Murphy
    Murphy is a residential suburb located within the Dallas metropolitan area in Texas.
  • C. Murphy Cooper
    Murphy Cooper is a brilliant and determined scientist and the daughter of astronaut Joseph Cooper in the science-fiction film "Interstellar," whose research becomes pivotal to humanity's survival.
  • D. Murf
    Murf is a mysterious, gelatinous alien crew member in the animated series "Star Trek: Prodigy," known for its resilience, evolving abilities, and comic relief.
  • E. Murry
    Murry is a given name and surname that functions as a spelling variant of the more common name Murray.
  • F. None of above.

Provenance (5 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79459192c81908132ad9813d69125 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79655d5f08190a3cbf3e12e2ffa67 completed May 3, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69f7972a1cf48190a1d435227414967a completed May 3, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:54 p.m.