Triple

T14237287
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Ford E352914 entity
Predicate child P120 FINISHED
Object Susan Elizabeth Ford E346947 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: [Elizabeth Ford, child, Susan Elizabeth Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Elizabeth Ford
Context triple: [Elizabeth Ford, child, Susan Elizabeth Ford]
  • A. Susan Elizabeth Ford chosen
    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. 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.
  • E. Anne McDonnell Ford
    Anne McDonnell Ford was a member of the prominent Ford family and the wife of Henry Ford II, playing a notable role in American high society and philanthropy.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62422e28819089e7115052a28c96 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281f80548190ad489c418f27e82c completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.