Triple

T14764029
Position Surface form Disambiguated ID Type / Status
Subject Michael Gerald Ford E346945 entity
Predicate sibling P363 FINISHED
Object Susan Elizabeth Ford E1091463 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: Susan Elizabeth Ford | Statement: [Michael Gerald Ford, sibling, Susan Elizabeth Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Elizabeth Ford
Context triple: [Michael Gerald Ford, sibling, Susan Elizabeth Ford]
  • A. Susan Elizabeth Ford
    Susan Elizabeth Ford is the daughter of former U.S. President Gerald Ford and First Lady Betty Ford, known for her work as an author, photojournalist, and breast cancer awareness advocate.
  • B. Lisa Vanderzee Ford
    Lisa Vanderzee Ford is the wife of Ford Motor Company executive chairman William Clay Ford Jr.
  • C. Rosemarie Ford
    Rosemarie Ford is a British actress, singer, dancer, and television presenter known for her work in musical theatre and on UK entertainment shows.
  • D. Susan Ford Bales chosen
    Susan Ford Bales is an American photographer and author best known as the daughter of President Gerald Ford and First Lady Betty Ford, and for her work in public service and advocacy.
  • E. Ruth Ford
    Ruth Ford was an American actress known for her work in mid-20th-century film and theater, often appearing in character roles on both stage and screen.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f3a1608190b1b17624003a0c7f completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388aeb9c819099a987a819959479 completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:30 a.m.