Triple

T15038817
Position Surface form Disambiguated ID Type / Status
Subject Don Gately E378546 entity
Predicate interactsWith P3970 FINISHED
Object Joelle Van Dyne E378547 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: Joelle Van Dyne | Statement: [Don Gately, interactsWith, Joelle Van Dyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joelle Van Dyne
Context triple: [Don Gately, interactsWith, Joelle Van Dyne]
  • A. Joelle Van Dyne chosen
    Joelle Van Dyne is a central, enigmatic figure in David Foster Wallace’s novel "Infinite Jest," known for her extreme beauty, disfigured face, and involvement with both the film industry and the novel’s themes of addiction and obsession.
  • B. Hope van Dyne
    Hope van Dyne is a Marvel Comics and Marvel Cinematic Universe character who becomes the superhero Wasp, fighting alongside Ant-Man with a technologically advanced shrinking suit.
  • C. Janet van Dyne
    Janet van Dyne is a Marvel Comics superhero best known as the Wasp, a founding member of the Avengers and a longtime partner of Hank Pym.
  • D. Jennifer Walters
    Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
  • E. Martha Coleman
    Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82cf3848190b0b2b6c9e65bc70b completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de1c3a48190a9b3959a95627175 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.