Triple

T18022451
Position Surface form Disambiguated ID Type / Status
Subject Atom Egoyan E431158 entity
Predicate name P16 FINISHED
Object Atom Egoyan 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: Atom Egoyan | Statement: [Atom Egoyan, name, Atom Egoyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atom Egoyan
Context triple: [Atom Egoyan, name, Atom Egoyan]
  • A. Atom Egoyan chosen
    Atom Egoyan is a Canadian filmmaker known for his psychologically complex, nonlinear dramas exploring memory, identity, and alienation.
  • B. Jimmy Van Patten
    Jimmy Van Patten is an American actor and poker player, known for his roles in film and television as well as for co-creating the World Poker Tour's Hollywood Home Game.
  • C. Richard Comeau
    Richard Comeau is a Canadian film editor known for his work on numerous acclaimed feature films, including the drama "Two Lovers and a Bear."
  • D. Oren Moverman
    Oren Moverman is an Israeli-American screenwriter and director known for his work on acclaimed films such as "I'm Not There," "The Messenger," and "Rampart."
  • E. Jean-Marc Vallée
    Jean-Marc Vallée was a Canadian filmmaker and editor known for his emotionally intimate, character-driven films and acclaimed work in both cinema and prestige television, including projects like "Dallas Buyers Club" and "Big Little Lies."
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c3a2c48190bbe4a0581466cd2f completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.