Triple

T10671279
Position Surface form Disambiguated ID Type / Status
Subject King Country E251491 entity
Predicate hasAllBlack P95236 FINISHED
Object Glen Osborne E879690 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: Glen Osborne | Statement: [King Country, hasAllBlack, Glen Osborne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen Osborne
Context triple: [King Country, hasAllBlack, Glen Osborne]
  • A. Glen Osborne chosen
    Glen Osborne is a former New Zealand rugby union player best known as a dynamic All Blacks back in the 1990s.
  • B. Glen Dawson
    Glen Dawson was an American mountaineer and rock climber known for pioneering ascents in the Sierra Nevada during the early 20th century.
  • C. Glenn Williamson
    Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
  • D. Glen Loy
    Glen Loy is a valley in the Scottish Highlands historically associated with the lands of Clan Cameron.
  • E. Glen Stanly
    Glen Stanly is a fictional character in Herman Melville’s novel "Pierre; or, The Ambiguities," involved in the complex social and psychological dynamics surrounding the protagonist.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f8648a248190a3bd284c569152e4 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:09 p.m.