Triple

T20901351
Position Surface form Disambiguated ID Type / Status
Subject Batman: The Long Halloween, Part One E514672 entity
Predicate characterVoiced P13156 FINISHED
Object Selina Kyle 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: Selina Kyle | Statement: [Batman: The Long Halloween, Part One, characterVoiced, Selina Kyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selina Kyle
Context triple: [Batman: The Long Halloween, Part One, characterVoiced, Selina Kyle]
  • 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. Helena Wayne
    Helena Wayne is a DC Comics superheroine best known as the Earth-Two version of the Huntress, the daughter of Batman (Bruce Wayne) and Catwoman (Selina Kyle).
  • C. Stephanie Brown
    Stephanie Brown is a DC Comics superheroine best known for her roles as Spoiler, Robin, and later Batgirl in the Batman family of characters.
  • D. Mary Jane Watson
    Mary Jane Watson is a central character in the Spider-Man franchise, best known as Peter Parker’s longtime love interest and a key emotional anchor in his story.
  • E. Jemma Wayne
    Jemma Wayne is a British novelist and journalist known for her literary fiction and commentary on contemporary social issues.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fc5d488190b62f51c35e768d38 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.