Triple

T14684541
Position Surface form Disambiguated ID Type / Status
Subject DC Super Heroes and Super-Villains E344875 entity
Predicate featuresCharacter P626 FINISHED
Object Catwoman E135917 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: Catwoman | Statement: [DC Super Heroes and Super-Villains, featuresCharacter, Catwoman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catwoman
Context triple: [DC Super Heroes and Super-Villains, featuresCharacter, Catwoman]
  • A. Selina Kyle chosen
    Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
  • B. Barbara Minerva
    Barbara Minerva is a DC Comics character best known as the archaeologist who becomes the supervillain Cheetah and one of Wonder Woman’s primary adversaries.
  • C. Kate Kane
    Kate Kane is the DC Comics superheroine who becomes Batwoman, a vigilante crime-fighter in Gotham City and cousin to Bruce Wayne.
  • D. Catwoman (score)
    Catwoman (score) is the musical soundtrack composed by Klaus Badelt for the 2004 superhero film "Catwoman."
  • E. Harley Quinn
    Harley Quinn is a chaotic, acrobatic antiheroine from DC Comics known for her clown-themed appearance, unpredictable behavior, and complex relationship with the Joker.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56bdb8081909ff86440ba20fb1f completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18592088190892ae1cc371165be completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.