Triple

T20541477
Position Surface form Disambiguated ID Type / Status
Subject Sheldon Leonard E504344 entity
Predicate spouse P13 FINISHED
Object Frances Wolfe E504344 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: Frances Wolfe | Statement: [Sheldon Leonard, spouse, Frances Wolfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Wolfe
Context triple: [Sheldon Leonard, spouse, Frances Wolfe]
  • A. Frances Wolfe chosen
    Frances Wolfe was the wife of American actor, director, and producer Sheldon Leonard.
  • B. Frances Wetherall
    Frances Wetherall is best known as the wife of British actor and producer John Loder.
  • C. Frances Brundage
    Frances Brundage was an American illustrator best known for her sentimental and richly detailed depictions of children on postcards and in books during the late 19th and early 20th centuries.
  • D. Frances Johnston
    Frances Johnston was the wife of James Iredell Jr., a governor of North Carolina and associate justice of the United States Supreme Court.
  • E. Mabel Wolfe
    Mabel Wolfe was the sister of American novelist Thomas Wolfe and a member of the Wolfe family from Asheville, North Carolina.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a292dd1c8190b5c3031f3b44eb52 completed April 20, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf1fb1208190ab1f9a616d4134a2 completed May 19, 2026, 10:07 p.m.
Created at: April 16, 2026, 11:37 a.m.