Triple

T3906618
Position Surface form Disambiguated ID Type / Status
Subject Gwen Cooper E87216 entity
Predicate associatedWith P37 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: [Gwen Cooper, associatedWith, Owen Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owen Harper
Context triple: [Gwen Cooper, associatedWith, 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. 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.
  • C. 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.
  • D. Maxwell Lord
    Maxwell Lord is a powerful and morally ambiguous DC Comics businessman and manipulator often associated with the Justice League and Wonder Woman.
  • E. Owen Davian
    Owen Davian is the ruthless and highly intelligent arms dealer who serves as the primary antagonist in the film "Mission: Impossible III."
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed1290e48190aaf2d8b2a7be707a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b528540ad48190ac86774c76a2ffd4 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:22 p.m.