Triple

T5589248
Position Surface form Disambiguated ID Type / Status
Subject NYPD Blue E146833 entity
Predicate character P662 FINISHED
Object Andy Sipowicz E392426 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: Andy Sipowicz | Statement: [NYPD Blue, character, Andy Sipowicz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Sipowicz
Context triple: [NYPD Blue, character, Andy Sipowicz]
  • A. Andy Sipowicz chosen
    Andy Sipowicz is a tough, emotionally complex New York City detective and central character from the television drama "NYPD Blue."
  • B. Mort Fine
    Mort Fine was an American television writer and producer best known for co-creating the groundbreaking 1960s espionage series "I Spy."
  • C. Lex Murphy
    Lex Murphy is a young, tech-savvy girl who becomes one of the central child protagonists surviving the dinosaur chaos in the Jurassic Park franchise.
  • D. Maury Winetrobe
    Maury Winetrobe is a film editor best known for his work on classic Hollywood productions such as "Pocketful of Miracles."
  • E. Eddie Sawyer
    Eddie Sawyer was an American Major League Baseball manager best known for leading the Philadelphia Phillies' "Whiz Kids" to the 1950 National League pennant.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209ff5d88190843b6d134390ab71 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d342f7881908a79522692e8f7f9 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:38 p.m.