Triple

T20716987
Position Surface form Disambiguated ID Type / Status
Subject Gladys Sweet E509196 entity
Predicate name P16 FINISHED
Object Gladys Sweet 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: Gladys Sweet | Statement: [Gladys Sweet, name, Gladys Sweet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gladys Sweet
Context triple: [Gladys Sweet, name, Gladys Sweet]
  • A. Gladys Sweet chosen
    Gladys Sweet was one of the African American defendants prosecuted alongside her husband in the landmark Ossian Sweet trial, a pivotal civil rights case challenging racial housing segregation in 1920s Detroit.
  • B. Gladys Wilson
    Gladys Wilson is a fictional character known for her role as Mrs Wilson in the work in which she appears.
  • C. Gladys Malvern
    Gladys Malvern was an American author and illustrator best known for her historical and biographical novels for young adults, often featuring strong female protagonists.
  • D. Gladys Horton
    Gladys Horton was an American singer best known as the lead vocalist and a founding member of the Motown girl group The Marvelettes, who scored hits like "Please Mr. Postman."
  • E. Gladys Green
    Gladys Green is the elderly, increasingly forgetful grandmother at the center of Kenneth Lonergan’s play "The Waverly Gallery," whose decline drives the story’s emotional core.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d2c57481909840945ffd3b0cc3 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:16 p.m.