Triple

T9781371
Position Surface form Disambiguated ID Type / Status
Subject Arrowverse E237380 entity
Predicate hasMainCharacter P1183 FINISHED
Object Kate Kane E333023 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: Kate Kane | Statement: [Arrowverse, hasMainCharacter, Kate Kane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Kane
Context triple: [Arrowverse, hasMainCharacter, Kate Kane]
  • A. Kate Kane chosen
    Kate Kane is the DC Comics superheroine who becomes Batwoman, a vigilante crime-fighter in Gotham City and cousin to Bruce Wayne.
  • 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. Sara Lance
    Sara Lance is a central Arrowverse character, a resurrected assassin-turned-superhero who becomes the time-traveling leader of the Legends of Tomorrow.
  • D. 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.
  • E. Barbara Gordon / Batgirl
    Barbara Gordon, also known as Batgirl, is a key DC Comics superheroine and ally of Batman, renowned as both a skilled crimefighter and the brilliant information broker Oracle.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41b31b08190937f374c2d51aa1b completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.