Triple

T18227032
Position Surface form Disambiguated ID Type / Status
Subject Margaret Atwood E436446 entity
Predicate hasGivenName P17 FINISHED
Object Margaret — 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 | Statement: [Margaret Atwood, hasGivenName, Margaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret
Context triple: [Margaret Atwood, hasGivenName, Margaret]
  • A. Margaret chosen
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • B. Margaret
    Margaret is a 2011 American drama film written and directed by Kenneth Lonergan, known for its complex portrayal of grief and moral responsibility following a tragic bus accident in New York City.
  • C. Margaret
    Margaret is a witty and flirtatious gentlewoman in Shakespeare’s comedy "Much Ado About Nothing," whose unwitting involvement in a deception helps drive the play’s central conflict.
  • D. Margaret
    Margaret is a central female character in Eugene O’Neill’s play "The Great God Brown," embodying themes of love, identity, and disillusionment.
  • E. Margaret
    Margaret is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of broadcast journalists in the 1980s.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aff8748190be5e732f9dbc8dff completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.