Triple

T16170716
Position Surface form Disambiguated ID Type / Status
Subject Andy Sipowicz E392426 entity
Predicate portrayedBy P1507 FINISHED
Object Dennis Franz E93505 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: Dennis Franz | Statement: [Andy Sipowicz, portrayedBy, Dennis Franz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Franz
Context triple: [Andy Sipowicz, portrayedBy, Dennis Franz]
  • A. Dennis Franz chosen
    Dennis Franz is an American actor best known for his acclaimed portrayal of Detective Andy Sipowicz on the television series "NYPD Blue."
  • B. William Katt
    William Katt is an American actor best known for starring in the 1980s television series "The Greatest American Hero" and appearing in films such as "Carrie."
  • C. Colin Ferguson
    Colin Ferguson is a Canadian-American actor best known for starring as Sheriff Jack Carter on the science fiction television series "Eureka."
  • D. 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."
  • E. Mike Farrell
    Mike Farrell is an American actor, producer, and activist best known for his role as Captain B.J. Hunnicutt on the television series M*A*S*H.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb6de30819083af54b50ae5ae51 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bd87f08190a9f2a1524e5db2ba completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.