Triple

T8337323
Position Surface form Disambiguated ID Type / Status
Subject Ruth Elizabeth Davis E195820 entity
Predicate spouse P13 FINISHED
Object William Grant Sherry E144662 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: William Grant Sherry | Statement: [Ruth Elizabeth Davis, spouse, William Grant Sherry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Grant Sherry
Context triple: [Ruth Elizabeth Davis, spouse, William Grant Sherry]
  • A. William Grant Sherry chosen
    William Grant Sherry was an American artist and World War II veteran best known as the third husband of actress Bette Davis.
  • B. William Grant
    William Grant was an architect and landscape designer known for his role in shaping the modern layout and features of New York City's Madison Square Park.
  • C. George Hennessy
    George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
  • D. Charles Black
    Charles Black is a business associate and partner of Adam Black.
  • E. Don MacMillan
    Don MacMillan was a Canadian middle-distance runner known for his competitive performances in the 1950s, including appearances in high-profile mile races.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd5027c81909724f25aa30bbe58 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95e17300819090e405c4c60b280d completed April 1, 2026, 10:02 p.m.
Created at: March 30, 2026, 5:57 p.m.