Triple

T22002298
Position Surface form Disambiguated ID Type / Status
Subject Greg Medavoy E543359 entity
Predicate hasColleague P398 FINISHED
Object Andy Sipowicz NE NERFINISHED

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: [Greg Medavoy, hasColleague, Andy Sipowicz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Sipowicz
Context triple: [Greg Medavoy, hasColleague, 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. Theo Sipowicz
    Theo Sipowicz is a fictional character from the television series "NYPD Blue," known as the young son of main character Detective Andy Sipowicz.
  • C. Chris Palko
    Chris Palko is an American underground hip hop artist and producer best known by his stage name Cage, noted for his dark, introspective lyrics and influential role in alternative rap.
  • D. Dennis Austin
    Dennis Austin was a software engineer best known as the co-creator and principal developer of Microsoft PowerPoint, originally developed at Forethought Inc.
  • E. Mort Fine
    Mort Fine was an American television writer and producer best known for co-creating the groundbreaking 1960s espionage series "I Spy."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276bf2a48190910d9c27f1c5e74f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.