Triple

T21481838
Position Surface form Disambiguated ID Type / Status
Subject Julie Newmar E530011 entity
Predicate portrayedCharacter P1668 FINISHED
Object Catwoman 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: Catwoman | Statement: [Julie Newmar, portrayedCharacter, Catwoman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catwoman
Context triple: [Julie Newmar, portrayedCharacter, 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 (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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.