Triple

T6097658
Position Surface form Disambiguated ID Type / Status
Subject Catwoman E135917 entity
Predicate realIdentity P13264 FINISHED
Object Selina Kyle 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: Selina Kyle | Statement: [Catwoman, realIdentity, Selina Kyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selina Kyle
Context triple: [Catwoman, realIdentity, 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. 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.
  • C. Selina
    Selina is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • D. Margaret Lemon
    Margaret Lemon is a fictional character on the television series "30 Rock," known as the overbearing and critical mother of protagonist Liz Lemon.
  • E. Harley Quinn Smith
    Harley Quinn Smith is an American actress and musician, known for her roles in her father Kevin Smith’s films as well as projects like "Cruel Summer" and the band The Tenth.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a987ce081908cbe22940f31ee2f completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1358d0e18819084e2acb9e75271b4 completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:12 p.m.