Triple

T14381959
Position Surface form Disambiguated ID Type / Status
Subject Dan Winch E356623 entity
Predicate notableWork P4 FINISHED
Object Honour E1047238 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: Honour | Statement: [Dan Winch, notableWork, Honour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honour
Context triple: [Dan Winch, notableWork, Honour]
  • A. Honour chosen
    Honour is a British television drama series that explores the real-life investigation into the 2006 honour killing of Banaz Mahmod.
  • B. honour
    Honour is a moral principle centered on personal integrity, duty, and reputation, often driving individuals to uphold what is right even at great personal cost.
  • C. Honor and Excellence
    Honor and Excellence is the guiding motto of the University of the Philippines, emphasizing integrity and academic distinction as core values of the institution.
  • D. Honor (historical)
    Honor (historical) is a former smartphone and electronics brand that was created and owned by Huawei, targeting younger consumers with competitively priced devices before being sold off in 2020.
  • E. Truth, Duty, Valour
    Truth, Duty, Valour is the official motto of the Royal Military College of Canada, encapsulating its core values of integrity, responsibility, and courage in service.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900bbfb08190a1e56f281a2374c0 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5a7ab4819090ad0ba45f4ddba9 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.