Triple

T13054591
Position Surface form Disambiguated ID Type / Status
Subject Yellowjacket E327536 entity
Predicate notableUser P4829 FINISHED
Object Darren Cross E498473 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: Darren Cross | Statement: [Yellowjacket, notableUser, Darren Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darren Cross
Context triple: [Yellowjacket, notableUser, Darren Cross]
  • A. Darren Cross chosen
    Darren Cross is a Marvel Comics supervillain and the primary antagonist in the film "Ant-Man," where he becomes the armored Yellowjacket after attempting to weaponize Pym Particle technology.
  • B. Danny Ketch
    Danny Ketch is a Marvel Comics character best known as a modern incarnation of Ghost Rider, a supernatural antihero bonded to the Spirit of Vengeance.
  • C. Strucker
    Strucker is a fictional antagonist, often depicted as a powerful and dangerous foe in comic book and related media storylines.
  • D. Red Demon
    Red Demon is the fierce athletic mascot representing Dodge City High School’s sports teams and school spirit.
  • E. Kilgrave
    Kilgrave is a Marvel Comics supervillain and primary antagonist in the Jessica Jones series, known for his terrifying ability to control minds.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bb52d88190b5be12000e27a2c9 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbdead348190aa7aaa29c371d72a completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.