Triple

T9437537
Position Surface form Disambiguated ID Type / Status
Subject Silas Phelps E227550 entity
Predicate spouse P13 FINISHED
Object Sally Phelps E735923 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: Sally Phelps | Statement: [Silas Phelps, spouse, Sally Phelps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sally Phelps
Context triple: [Silas Phelps, spouse, Sally Phelps]
  • A. Sally Phelps chosen
    Sally Phelps is a fictional character in Mark Twain’s "The Adventures of Huckleberry Finn," depicted as Tom Sawyer’s kind but strict aunt who lives on a Southern farm.
  • B. Betty Broderick-Allen
    Betty Broderick-Allen is a fictional character from the American mockumentary sitcom "The Office," known as Phyllis Vance’s mother.
  • C. Sheila Kelley
    Sheila Kelley is an American actress and dancer best known for her roles in film and television and for founding the S Factor pole-dance fitness movement.
  • D. Nancy Perkins
    Nancy Perkins is known primarily as one of the daughters of renowned American book editor Maxwell Perkins.
  • E. Sally Peterson
    Sally Peterson is known as the spouse of American investment banker and former U.S. Secretary of Commerce Peter G. Peterson.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.