Triple

T3566374
Position Surface form Disambiguated ID Type / Status
Subject Leslie Lynch King Jr. E75457 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: [Leslie Lynch King Jr., child, Susan Elizabeth Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Elizabeth Ford
Context triple: [Leslie Lynch King Jr., 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. 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.
  • D. Sheila Ford Hamp
    Sheila Ford Hamp is an American businesswoman and member of the Ford family who serves as principal owner and chair of the NFL’s Detroit Lions.
  • E. Patricia Haines
    Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0aa0fcc8190bc99df68d2bd9139 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbacbb1081908fc57168a8fc3ade completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.