Triple

T12232154
Position Surface form Disambiguated ID Type / Status
Subject A-Force E291499 entity
Predicate member P10 FINISHED
Object Spider-Woman E291492 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: Spider-Woman | Statement: [A-Force, member, Spider-Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spider-Woman
Context triple: [A-Force, member, 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. 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.
  • C. Dazzler
    Dazzler is a Marvel Comics superheroine and mutant pop star who converts sound into powerful light-based energy.
  • D. May Parker (Spider-Girl)
    May Parker (Spider-Girl) is a Marvel Comics superheroine from an alternate future, the teenage daughter of Peter Parker and Mary Jane Watson who inherits her father's spider-powers and crime-fighting legacy.
  • E. 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.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b893a70819090d4ebb0609e6544 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:51 p.m.