Triple

T968738
Position Surface form Disambiguated ID Type / Status
Subject MaddAddam E20897 entity
Predicate author P4 FINISHED
Object Margaret Atwood E3306 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: Margaret Atwood | Statement: [MaddAddam, author, Margaret Atwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Atwood
Context triple: [MaddAddam, author, 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. Naomi Mitchison
    Naomi Mitchison was a prolific 20th-century Scottish novelist, poet, and social activist known for her historical and speculative fiction as well as her engagement in feminist and socialist causes.
  • C. A. S. Byatt
    A. S. Byatt was an acclaimed English novelist, critic, and academic best known for her Booker Prize-winning novel "Possession" and her intellectually rich, intertextual fiction.
  • D. Michael Ondaatje
    Michael Ondaatje is a Sri Lankan-born Canadian novelist and poet best known for his Booker Prize–winning novel "The English Patient."
  • E. Helen Garner
    Helen Garner is an acclaimed Australian novelist, short story writer, and journalist known for her incisive explorations of everyday life, relationships, and moral complexity.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b4481f508190adcf0a965a23862c completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66179f908190b3f0144d1ee91a1c completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:40 p.m.