Triple

T7213545
Position Surface form Disambiguated ID Type / Status
Subject David Paymer E149469 entity
Predicate name P16 FINISHED
Object David Paymer E149469 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: David Paymer | Statement: [David Paymer, name, David Paymer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Paymer
Context triple: [David Paymer, name, David Paymer]
  • A. David Paymer chosen
    David Paymer is an American character actor and director known for his prolific film and television career, including an Academy Award–nominated role in "Mr. Saturday Night."
  • B. James Payn
    James Payn was a 19th-century English novelist and journalist known for his popular fiction and influential role in Victorian literary circles.
  • C. Liev Schreiber
    Liev Schreiber is an American actor, director, and producer known for his versatile performances in film, television, and theater, including roles in "Ray Donovan," "Spotlight," and numerous Shakespearean stage productions.
  • D. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • E. Peter Sarsgaard
    Peter Sarsgaard is an American actor known for his nuanced supporting and character roles in films such as "Shattered Glass," "An Education," and "Jarhead."
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98b61448190add3624a818fdc7b completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfcec3448190ab29c3742aa167ae completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:53 p.m.