Triple

T18488483
Position Surface form Disambiguated ID Type / Status
Subject The Diviners E451752 entity
Predicate author P4 FINISHED
Object Margaret Laurence 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: Margaret Laurence | Statement: [The Diviners, author, Margaret Laurence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Laurence
Context triple: [The Diviners, author, Margaret Laurence]
  • A. Margaret Laurence chosen
    Margaret Laurence was a prominent Canadian novelist and short story writer whose works, including "The Stone Angel" and "The Diviners," are central to the development of modern Canadian literature.
  • B. Norman Paton
    Norman Paton is a British computer scientist known for his research in databases, distributed systems, and data management.
  • C. Sinclair Ross
    Sinclair Ross was a Canadian author best known for his prairie novel "As For Me and My House," a cornerstone of mid-20th-century Canadian literature.
  • D. Hugh MacLennan
    Hugh MacLennan was a prominent 20th-century Canadian novelist and essayist whose works, such as "Barometer Rising" and "Two Solitudes," helped define modern Canadian literature and national identity.
  • E. Lucy Maud Montgomery
    Lucy Maud Montgomery was a Canadian author best known for her beloved "Anne of Green Gables" series, which drew heavily on her upbringing in rural Prince Edward Island.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d8bac4819099306abbf78b9565 completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.