Triple

T7007101
Position Surface form Disambiguated ID Type / Status
Subject Edsel Ford E162483 entity
Predicate spouse P13 FINISHED
Object Eleanor Clay Ford E162483 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: Eleanor Clay Ford | Statement: [Edsel Ford, spouse, Eleanor Clay Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eleanor Clay Ford
Context triple: [Edsel Ford, spouse, Eleanor Clay Ford]
  • A. Eleanor Clay Ford chosen
    Eleanor Clay Ford was an American heiress and prominent Detroit philanthropist, best known as the wife of Edsel Ford and a key figure in the Ford family legacy.
  • B. Clara Jane Bryant Ford
    Clara Jane Bryant Ford was an American philanthropist and social activist best known as the longtime wife and partner of industrialist Henry Ford.
  • C. Elsie Ann Ford
    Elsie Ann Ford was an American actress and the mother of actor Robert Downey Jr.
  • D. Lisa Vanderzee Ford
    Lisa Vanderzee Ford is the wife of Ford Motor Company executive chairman William Clay Ford Jr.
  • E. Eleanor Boardman
    Eleanor Boardman was a prominent American silent film actress of the 1920s, best known for her work with director King Vidor and her performances in films such as "The Crowd."
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc35cb848190a839919021efce81 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7755c7c1481908eed49c72726195e completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:33 p.m.