Triple

T19753547
Position Surface form Disambiguated ID Type / Status
Subject Commander Fred Waterford E474444 entity
Predicate createdBy P806 FINISHED
Object Margaret Atwood 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 Atwood | Statement: [Commander Fred Waterford, createdBy, Margaret Atwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Atwood
Context triple: [Commander Fred Waterford, createdBy, Margaret Atwood]
  • A. Margaret Atwood chosen
    Margaret Atwood is a renowned Canadian author and poet best known for her speculative fiction works such as "The Handmaid's Tale" and "Oryx and Crake."
  • B. Ann Kelsey
    Ann Kelsey is a sharp, principled attorney on the television legal drama "L.A. Law," known for her professionalism and complex personal relationships within the firm.
  • C. Miriam Toews
    Miriam Toews is a Canadian novelist known for her darkly comic and emotionally resonant portrayals of Mennonite life and complex family relationships.
  • D. Anne Michaels
    Anne Michaels is a Canadian poet and novelist best known for her acclaimed, lyrically written novel "Fugitive Pieces."
  • E. P. K. Page
    P. K. Page was a prominent Canadian poet and visual artist whose innovative, lyrical work has made her a central figure in 20th-century Canadian literature.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529cae048190b4f8e6ba409bcf8e completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.