Triple

T21513500
Position Surface form Disambiguated ID Type / Status
Subject Crozier E530785 entity
Predicate hasNotableBearer P458 FINISHED
Object Lorna Crozier 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: Lorna Crozier | Statement: [Crozier, hasNotableBearer, Lorna Crozier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorna Crozier
Context triple: [Crozier, hasNotableBearer, Lorna Crozier]
  • A. Lorna Crozier chosen
    Lorna Crozier is an acclaimed Canadian poet and educator known for her lyrical explorations of memory, landscape, and the human condition.
  • B. Lorna Milne
    Lorna Milne is a Scottish Liberal Democrat politician who served as a life peer in the House of Lords.
  • C. Lorna Campbell
    Lorna Campbell is a fictional British intelligence agent and key supporting character who assists the bumbling spy in the comedy film "Johnny English."
  • D. Lorna MacDougall
    Lorna MacDougall is the mother of British writer Naomi Ishiguro, known for her short story collection "Escape Routes" and novel "Common Ground."
  • E. Lorna Patterson
    Lorna Patterson is an American actress best known for her comedic role as the singing stewardess in the classic parody film "Airplane!"
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.