Triple

T15175954
Position Surface form Disambiguated ID Type / Status
Subject The Negotiator E362608 entity
Predicate starring P1507 FINISHED
Object Ron Rifkin E159603 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: Ron Rifkin | Statement: [The Negotiator, starring, Ron Rifkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Rifkin
Context triple: [The Negotiator, starring, Ron Rifkin]
  • A. Ron Rifkin chosen
    Ron Rifkin is an American actor known for his character roles in film, television, and theater, including prominent parts in series like "Alias" and numerous stage productions.
  • B. Jay Rifkin
    Jay Rifkin is an American music producer and entrepreneur best known for his collaborations with Hans Zimmer and his work on Disney projects such as The Lion King.
  • C. Steve Rifkind
    Steve Rifkind is an American music executive and entrepreneur best known for founding the influential hip-hop label Loud Records and helping launch the careers of several major rap artists.
  • D. Arnold Rifkin
    Arnold Rifkin is a film producer best known for his work on action and thriller movies, including the 2002 suspense film "Phone Booth."
  • E. Adam Rifkin
    Adam Rifkin is an American filmmaker and screenwriter known for his work on both mainstream comedies and cult-favorite independent films.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e664b081909ef4b6a76976847f completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:09 a.m.