Triple

T5589252
Position Surface form Disambiguated ID Type / Status
Subject NYPD Blue E146833 entity
Predicate character P662 FINISHED
Object Greg Medavoy
Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
 E543359 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: Greg Medavoy | Statement: [NYPD Blue, character, Greg Medavoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greg Medavoy
Context triple: [NYPD Blue, character, Greg Medavoy]
  • A. Mike Medavoy
    Mike Medavoy is an American film producer and studio executive known for backing numerous acclaimed and influential Hollywood films.
  • B. Greg Amsinger
    Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
  • C. Michael Benaroya
    Michael Benaroya is an American film producer and financier known for backing a range of independent and genre films through his company Benaroya Pictures.
  • D. Tom Leppert
    Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
  • E. Ben Demaree
    Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
  • 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: Greg Medavoy
Triple: [NYPD Blue, character, Greg Medavoy]
Generated description
Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greg Medavoy
Target entity description: Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
  • A. Mike Medavoy
    Mike Medavoy is an American film producer and studio executive known for backing numerous acclaimed and influential Hollywood films.
  • B. Greg Amsinger
    Greg Amsinger is an American sportscaster best known as a studio host and anchor for MLB Network’s baseball coverage.
  • C. Michael Benaroya
    Michael Benaroya is an American film producer and financier known for backing a range of independent and genre films through his company Benaroya Pictures.
  • D. Tom Leppert
    Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
  • E. Ben Demaree
    Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
  • F. None of above. chosen

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_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_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
NEDg Description generation batch_69c087210d9881909947ea160d3c9fde completed March 23, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69c0879425b88190bf989710847315c9 completed March 23, 2026, 12:21 a.m.
Created at: March 22, 2026, 3:38 p.m.