Triple

T17911879
Position Surface form Disambiguated ID Type / Status
Subject Justice League E447835 entity
Predicate member P10 FINISHED
Object Black Canary 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: Black Canary | Statement: [Justice League, member, Black Canary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Canary
Context triple: [Justice League, member, Black Canary]
  • A. Black Canary chosen
    Black Canary is a DC Comics superheroine known for her expert martial arts skills and her powerful ultrasonic "canary cry" sonic scream.
  • B. Cordelia Foxx
    Cordelia Foxx is a powerful witch and eventual Supreme who leads Miss Robichaux's Academy in the television series "American Horror Story: Coven."
  • C. Dazzler
    Dazzler is a Marvel Comics superheroine and mutant pop star who converts sound into powerful light-based energy.
  • D. Melissa Dyne
    Melissa Dyne is an American artist and musician best known as a member of the experimental pop duo The Blow, where she contributes to the group’s sound design and conceptual production.
  • E. Kathy Kane
    Kathy Kane is a wealthy socialite and skilled vigilante who operates as the original Batwoman in DC Comics, fighting crime alongside Batman and other members of the Bat-Family.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea0ea008190b54a999e0704fb67 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.