Triple

T13258935
Position Surface form Disambiguated ID Type / Status
Subject Arvin Sloane E315736 entity
Predicate portrayedBy 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: [Arvin Sloane, portrayedBy, Ron Rifkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Rifkin
Context triple: [Arvin Sloane, portrayedBy, 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a444b4c8190a5dd95460ac96cc7 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.