Triple

T20348597
Position Surface form Disambiguated ID Type / Status
Subject Carey E495945 entity
Predicate hasNotableBearer P458 FINISHED
Object John Carey E520535 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 Carey | Statement: [Carey, hasNotableBearer, John Carey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Carey
Context triple: [Carey, hasNotableBearer, John Carey]
  • A. John Carey
    John Carey is an American businessman best known as one of the early founders involved in establishing the semiconductor company Advanced Micro Devices (AMD).
  • B. John Carey chosen
    John Carey is a prominent British literary critic, scholar, and author known for his influential work on English literature and his accessible, often provocative essays and books.
  • C. Francis Kermode
    Francis Kermode was a Canadian naturalist and museum curator best known for his work in British Columbia, after whom the rare white-furred Kermode bear is named.
  • D. John Sutherland
    John Sutherland is a prominent British literary critic and scholar known for his extensive work on Victorian literature and popular literary history.
  • E. F. R. Leavis
    F. R. Leavis was a prominent 20th-century English literary critic known for his rigorous moral and aesthetic standards and his influential role in shaping the study of English literature at Cambridge.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783af5dc8190a40c3b9816cd1aef completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08696353608190adf7492e6c5377f9 completed May 16, 2026, 12:56 p.m.
Created at: April 16, 2026, 11:24 a.m.