Triple

T6627928
Position Surface form Disambiguated ID Type / Status
Subject Arrow E149849 entity
Predicate spinOff P7736 FINISHED
Object Batwoman E334511 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: Batwoman | Statement: [Arrow, spinOff, Batwoman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batwoman
Context triple: [Arrow, spinOff, Batwoman]
  • A. Batwoman chosen
    Batwoman is a DC Comics superheroine and crimefighter, often depicted as a wealthy vigilante in Gotham City who operates independently of Batman.
  • B. Batgirl
    Batgirl is a costumed DC Comics superheroine, most commonly portrayed as Barbara Gordon, who fights crime in Gotham City alongside Batman and the Bat-Family.
  • C. Birds of Prey
    Birds of Prey is a 2020 DC superhero film centered on Harley Quinn teaming up with a group of female vigilantes in Gotham City.
  • D. Birds of Prey
    Birds of Prey is a historical adventure novel by Wilbur Smith set in the 17th century, following high-seas exploits, family rivalries, and colonial-era intrigue.
  • E. Wonder Woman (DCAU)
    Wonder Woman (DCAU) is the DC Animated Universe’s version of the iconic Amazonian superhero Diana, a founding member of the Justice League known for her strength, combat skill, and commitment to justice.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa2e4a48190ba3c70013bab14f2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbeb04348190957b8e5f098b72bf completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:59 p.m.