Triple

T16328927
Position Surface form Disambiguated ID Type / Status
Subject Captain Jack Harkness E396496 entity
Predicate worksWith P398 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: [Captain Jack Harkness, worksWith, Owen Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owen Harper
Context triple: [Captain Jack Harkness, worksWith, 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. Sam Drake
    Sam Drake is a seasoned treasure hunter and the older brother of protagonist Nathan Drake in the Uncharted video game series.
  • C. 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.
  • D. 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.
  • E. Daniel Grayson
    Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4ddc5608190b24fe2e871691470 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261134108190812da262b424a476 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.