Triple

T13564417
Position Surface form Disambiguated ID Type / Status
Subject Dann Florek E323995 entity
Predicate characterRole P268 FINISHED
Object Captain Donald Cragen E820596 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: Captain Donald Cragen | Statement: [Dann Florek, characterRole, Captain Donald Cragen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Captain Donald Cragen
Context triple: [Dann Florek, characterRole, Captain Donald Cragen]
  • A. Donald Cragen chosen
    Donald Cragen is a fictional NYPD captain known for leading the Special Victims Unit with a firm but compassionate approach in the television series "Law & Order: Special Victims Unit."
  • B. Dennis Franz
    Dennis Franz is an American actor best known for his acclaimed portrayal of Detective Andy Sipowicz on the television series "NYPD Blue."
  • C. Andy Sipowicz
    Andy Sipowicz is a tough, emotionally complex New York City detective and central character from the television drama "NYPD Blue."
  • D. Mickey Hargitay
    Mickey Hargitay was a Hungarian-American bodybuilder, actor, and former Mr. Universe best known for his marriage to Jayne Mansfield and his roles in 1950s–60s films.
  • E. Dennis Farina
    Dennis Farina was an American actor and former Chicago police officer best known for his tough-guy roles in films like "Get Shorty" and on TV series such as "Law & Order."
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75daf1bfc8190bf22eb9ef242f54f completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.