Triple

T9574671
Position Surface form Disambiguated ID Type / Status
Subject Tanya Lapointe E231015 entity
Predicate spouse P13 FINISHED
Object Denis Villeneuve E86176 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: Denis Villeneuve | Statement: [Tanya Lapointe, spouse, Denis Villeneuve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denis Villeneuve
Context triple: [Tanya Lapointe, spouse, Denis Villeneuve]
  • A. Denis Villeneuve chosen
    Denis Villeneuve is a critically acclaimed Canadian film director known for visually striking, atmospheric works such as Arrival, Blade Runner 2049, and the Dune films.
  • B. Chris Noonan
    Chris Noonan is an Australian film director best known for helming the acclaimed family film "Babe" and later the biographical drama "Miss Potter."
  • C. Joseph Kosinski
    Joseph Kosinski is an American film director known for visually striking, effects-driven blockbusters such as Tron: Legacy, Oblivion, and Top Gun: Maverick.
  • D. de Villeneuve
    de Villeneuve is a French surname most notably associated with Admiral Pierre-Charles Villeneuve, a commander of the French fleet during the Napoleonic Wars.
  • E. Miguel Sapochnik
    Miguel Sapochnik is a British film and television director best known for his work on high-profile projects like "Game of Thrones," where he directed several of the series' most acclaimed battle episodes.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99a94c788190a4bb5d2b676908ac completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152c3f1e8819099f3f9d0f1d2d7b3 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:05 p.m.