Triple

T2784872
Position Surface form Disambiguated ID Type / Status
Subject University of Canterbury E61785 entity
Predicate hasNotableAlumni P51 FINISHED
Object John Key E87402 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: John Key | Statement: [University of Canterbury, hasNotableAlumni, John Key]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Key
Context triple: [University of Canterbury, hasNotableAlumni, John Key]
  • A. John Key chosen
    John Key is a New Zealand politician and businessman who served as the 38th Prime Minister of New Zealand from 2008 to 2016.
  • B. Tony Abbott
    Tony Abbott is an Australian politician who served as the 28th Prime Minister of Australia from 2013 to 2015 and long-time member of the Liberal Party.
  • C. Malcolm Turnbull
    Malcolm Turnbull is an Australian businessman, lawyer, and politician who served as the 29th Prime Minister of Australia from 2015 to 2018.
  • D. Scott Morrison
    Scott Morrison is an Australian politician who served as the 30th Prime Minister of Australia from 2018 to 2022.
  • E. Scott Barrett
    Scott Barrett is a New Zealand rugby union lock who plays for the Crusaders and the All Blacks.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddaf223c8190959bb0b336e5b7c0 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6526d0c81908df1710709cc5346 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.