Triple

T13687003
Position Surface form Disambiguated ID Type / Status
Subject Exam E328157 entity
Predicate producer P490 FINISHED
Object Gareth Unwin E64620 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: Gareth Unwin | Statement: [Exam, producer, Gareth Unwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gareth Unwin
Context triple: [Exam, producer, Gareth Unwin]
  • A. Gareth Unwin chosen
    Gareth Unwin is a British film producer best known for his Academy Award-winning work on the historical drama "The King’s Speech."
  • B. Gareth Bacon
    Gareth Bacon is a British Conservative Party politician and Member of Parliament known for representing the Orpington constituency.
  • C. Glyn Harman
    Glyn Harman is a British mathematician known for his contributions to analytic number theory, particularly in the study of prime numbers and Diophantine approximation.
  • D. Jonathan Gledhill
    Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
  • E. Gareth Jenkins
    Gareth Jenkins is a Welsh rugby union coach and former player best known for coaching the Scarlets and the Wales national team.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeed4548819082038c5b88ccd212 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 9:53 p.m.