Triple

T9298631
Position Surface form Disambiguated ID Type / Status
Subject Hopkinson E223703 entity
Predicate hasNotableBearer P458 FINISHED
Object Nalo Hopkinson E517487 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: Nalo Hopkinson | Statement: [Hopkinson, hasNotableBearer, Nalo Hopkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nalo Hopkinson
Context triple: [Hopkinson, hasNotableBearer, Nalo Hopkinson]
  • A. Nalo Hopkinson chosen
    Nalo Hopkinson is a Jamaican-born Canadian speculative fiction author renowned for her richly imaginative works that blend Caribbean folklore, Afrofuturism, and social commentary.
  • B. N. K. Jemisin
    N. K. Jemisin is an acclaimed American speculative fiction author best known for her award-winning Broken Earth trilogy and for being the first writer to win the Hugo Award for Best Novel three years in a row.
  • C. Martha Wells
    Martha Wells is an American speculative fiction author best known for her acclaimed "Murderbot Diaries" series and character-driven fantasy and science fiction works.
  • D. Sandra Henderson
    Sandra Henderson is a Canadian former athlete best known for co-lighting the Olympic cauldron at the 1976 Summer Olympics in Montreal.
  • E. Connie Willis
    Connie Willis is an acclaimed American science fiction and fantasy author known for her witty, emotionally rich time-travel stories and multiple Hugo and Nebula Award wins.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08cf50cc8190a025f478dff4f9fd completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b251c4148190a94fafdc23a601d6 completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:36 p.m.