Triple

T22842443
Position Surface form Disambiguated ID Type / Status
Subject Montonen–Olive duality E566116 entity
Predicate proposedBy P32 FINISHED
Object David Olive NE NERFINISHED

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: David Olive | Statement: [Montonen–Olive duality, proposedBy, David Olive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Olive
Context triple: [Montonen–Olive duality, proposedBy, David Olive]
  • A. David Olive chosen
    David Olive was a British theoretical physicist known for his influential work in string theory and conformal field theory.
  • B. Phil Dowson
    Phil Dowson is a former English rugby union player and current coach, best known for his long Premiership career with clubs like Newcastle Falcons and Northampton Saints and for representing England at international level.
  • C. Ian Furner
    Ian Furner is an academic known for supervising the doctoral research of prominent plant biologist Dame Ottoline Leyser.
  • D. Ted Oakes
    Ted Oakes is a wildlife television producer and filmmaker known for creating high-profile nature documentaries.
  • E. David Gill
    David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e866080819091adfb41cd2a4e13 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.