Triple

T21252137
Position Surface form Disambiguated ID Type / Status
Subject New Avengers E523770 entity
Predicate notableMember P10 FINISHED
Object Spider-Woman 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: Spider-Woman | Statement: [New Avengers, notableMember, Spider-Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spider-Woman
Context triple: [New Avengers, notableMember, Spider-Woman]
  • A. Spider-Woman chosen
    Spider-Woman is a Marvel Comics superheroine, most commonly Jessica Drew, known for her spider-based powers, espionage background, and membership in major superhero teams.
  • B. Spider-Woman
    Spider-Woman is a Marvel Comics superheroine identity adopted by Gwen Stacy in an alternate universe, where she gains spider-like powers and fights crime.
  • C. Lorna Dane
    Lorna Dane is a Marvel Comics mutant better known as Polaris, who possesses powerful magnetic abilities and is often depicted as the daughter of Magneto.
  • D. Spider-Girl
    Spider-Girl is a Marvel Comics superheroine, often depicted as a teenage successor to Spider-Man who inherits his powers and mantle in alternate future timelines.
  • E. Elasti-Woman
    Elasti-Woman is a DC Comics superheroine and member of the Doom Patrol who can dramatically alter the size and shape of her body.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359f5b408190b951adddba83c97a completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.