Triple

T12484231
Position Surface form Disambiguated ID Type / Status
Subject Gwendolyn Bennett E298389 entity
Predicate fullName P16 FINISHED
Object Gwendolyn Bennett E298389 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: Gwendolyn Bennett | Statement: [Gwendolyn Bennett, fullName, Gwendolyn Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwendolyn Bennett
Context triple: [Gwendolyn Bennett, fullName, Gwendolyn Bennett]
  • A. Gwendolyn Bennett chosen
    Gwendolyn Bennett was an influential Harlem Renaissance poet, writer, and visual artist whose work explored Black identity and culture in early 20th-century America.
  • B. Helen Hartnett
    Helen Hartnett is a notable individual who shares the Hartnett surname, recognized among the distinguished bearers of that family name.
  • C. Dorothy Earl
    Dorothy Earl was the first wife of American animator and Hanna-Barbera co-founder Joseph Barbera.
  • D. Lenore Stevens
    Lenore Stevens is an American actress best known for her marriage to Emmy-winning actor Richard Mulligan.
  • E. Margaret Scobey
    Margaret Scobey is an American career diplomat and former U.S. ambassador, notably serving as ambassador to Syria and later to Egypt.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94ddf0b6c8190aff4fe267d8f6efe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2b5ed481909ead4f5b96d44064 completed May 2, 2026, 6:15 p.m.
Created at: April 8, 2026, 9:56 p.m.