Triple

T17904759
Position Surface form Disambiguated ID Type / Status
Subject Tim McManus E447672 entity
Predicate conflictsWith P4897 FINISHED
Object Officer Sean Murphy NE NERFINISHED

How this triple was built (3 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: Officer Sean Murphy | Statement: [Tim McManus, conflictsWith, Officer Sean Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Officer Sean Murphy
Context triple: [Tim McManus, conflictsWith, Officer Sean Murphy]
  • A. Officer Doug Penhall
    Officer Doug Penhall is a lovable, wisecracking undercover cop known for his loyalty and comic relief on the TV series "21 Jump Street."
  • B. Officer Jay McPherson
    Officer Jay McPherson is a recurring comedic police officer character from the television series "The Sarah Silverman Program."
  • C. Officer Ben Romero
    Officer Ben Romero is a fictional Los Angeles police detective and Joe Friday’s veteran partner in the classic American crime drama series "Dragnet."
  • D. Officer Jim Kurring
    Officer Jim Kurring is a kind-hearted but insecure Los Angeles police officer and one of the central, emotionally driven characters in Paul Thomas Anderson’s film "Magnolia."
  • E. Officer Jason Dixon
    Officer Jason Dixon is a volatile, racist small-town police officer whose troubled transformation forms a central emotional arc in the film "Three Billboards Outside Ebbing, Missouri."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Officer Sean Murphy
Target entity description: Officer Sean Murphy is a fictional corrections officer character in the HBO prison drama series "Oz," known for his involvement in the complex power struggles within the Oswald State Correctional Facility.
  • A. Officer Doug Penhall
    Officer Doug Penhall is a lovable, wisecracking undercover cop known for his loyalty and comic relief on the TV series "21 Jump Street."
  • B. Officer Jay McPherson
    Officer Jay McPherson is a recurring comedic police officer character from the television series "The Sarah Silverman Program."
  • C. Officer Ben Romero
    Officer Ben Romero is a fictional Los Angeles police detective and Joe Friday’s veteran partner in the classic American crime drama series "Dragnet."
  • D. Officer Jim Kurring
    Officer Jim Kurring is a kind-hearted but insecure Los Angeles police officer and one of the central, emotionally driven characters in Paul Thomas Anderson’s film "Magnolia."
  • E. Officer Jason Dixon
    Officer Jason Dixon is a volatile, racist small-town police officer whose troubled transformation forms a central emotional arc in the film "Three Billboards Outside Ebbing, Missouri."
  • F. None of above. chosen

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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9b643c8190a01e9ec4caa88183 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.