Triple

T13237078
Position Surface form Disambiguated ID Type / Status
Subject Edsel and Eleanor Ford House E315175 entity
Predicate namedAfter P63 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 and Eleanor Ford House, namedAfter, Eleanor Clay Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eleanor Clay Ford
Context triple: [Edsel and Eleanor Ford House, namedAfter, 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. Margaret Ford
    Margaret Ford is a successful psychiatrist who becomes entangled in the dangerous world of con artists in David Mamet’s psychological thriller film "House of Games."
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9a5e388190ab75b9f476216894 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 9:22 p.m.