Triple

T21463883
Position Surface form Disambiguated ID Type / Status
Subject Jack Goodman E529541 entity
Predicate portrayedBy P1507 FINISHED
Object Griffin Dunne NE NERFINISHED

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: Griffin Dunne | Statement: [Jack Goodman, portrayedBy, Griffin Dunne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griffin Dunne
Context triple: [Jack Goodman, portrayedBy, Griffin Dunne]
  • A. Griffin Dunne chosen
    Griffin Dunne is an American actor, director, and producer known for roles in films like "An American Werewolf in London" and "After Hours."
  • B. Andrew Dorff
    Andrew Dorff was an American country music songwriter known for penning hits for artists such as Blake Shelton, Kenny Chesney, and Rascal Flatts.
  • C. Elliott Landy
    Elliott Landy is an American photographer best known for his iconic images of 1960s rock musicians and the Woodstock festival.
  • D. Gil Pender
    Gil Pender is the nostalgic, time-traveling screenwriter protagonist of Woody Allen’s film "Midnight in Paris," portrayed by Owen Wilson.
  • E. William Devane
    William Devane is an American actor known for his intense, often authoritative roles in film and television, including prominent performances in projects like "Knots Landing" and "24."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f100fc819093999018f7d78443 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.