Triple

T3843311
Position Surface form Disambiguated ID Type / Status
Subject Dennis Franz E93505 entity
Predicate name P16 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: [Dennis Franz, name, Dennis Franz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Franz
Context triple: [Dennis Franz, name, 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. 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."
  • C. Andre Braugher
    Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
  • D. Linus Roache
    Linus Roache is an English actor known for his roles in film and television, including prominent performances in series such as "Homeland" and "Law & Order."
  • E. Paul Fix
    Paul Fix was an American character actor best known for his numerous Western film and television roles, including his recurring part as Marshal Micah Torrance on the TV series "The Rifleman."
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040f93948190b104cf1b7db671b7 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.