Triple

T13272025
Position Surface form Disambiguated ID Type / Status
Subject W Wright E316083 entity
Predicate usedBy P260 FINISHED
Object Ian Wright E80394 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: Ian Wright | Statement: [W Wright, usedBy, Ian Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Wright
Context triple: [W Wright, usedBy, Ian Wright]
  • A. Ian Wright
    Ian Wright is a New Zealand-born engineer and entrepreneur best known as one of the co-founders of electric vehicle company Tesla, Inc.
  • B. Ian Wright chosen
    Ian Wright is a former English striker renowned for his prolific goal-scoring at Arsenal and as a charismatic football pundit.
  • C. Peter Beardsley
    Peter Beardsley is a former English footballer best known as a creative forward for clubs such as Newcastle United, Liverpool, and the England national team.
  • D. Alan Shearer
    Alan Shearer is a retired English striker and Premier League all-time leading goalscorer, best known for his prolific spells at Blackburn Rovers and Newcastle United and for captaining the England national team.
  • E. Robbie Fowler
    Robbie Fowler is a former English professional footballer best known as a prolific striker for Liverpool and the England national team during the 1990s and early 2000s.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99020f710819094c2618662bdc7fd completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a51d458819080b8c8f3a4df0f52 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.