Triple

T16845948
Position Surface form Disambiguated ID Type / Status
Subject Cyberwoman E409538 entity
Predicate featuresCharacter P626 FINISHED
Object Owen Harper E83671 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: Owen Harper | Statement: [Cyberwoman, featuresCharacter, Owen Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owen Harper
Context triple: [Cyberwoman, featuresCharacter, Owen Harper]
  • A. Owen Harper chosen
    Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
  • B. Harrison Lothario Wells
    Harrison Lothario Wells is one of the many alternate-universe versions of Harrison Wells in the Arrowverse, characterized by his flirtatious, womanizing personality.
  • C. Sam Drake
    Sam Drake is a seasoned treasure hunter and the older brother of protagonist Nathan Drake in the Uncharted video game series.
  • D. Daniel P. McCoy
    Daniel P. McCoy is an American politician who serves as the chief executive of Albany County, New York, overseeing county government operations and policy implementation.
  • E. Owen Shaw
    Owen Shaw is a skilled and ruthless British mercenary and criminal mastermind who serves as a primary antagonist in the Fast & Furious film franchise.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3541a008190b2a97cfea92b170f completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1b47648190909eaaf4e1e8e4c3 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.