Triple
T5555960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara Jane Bryant Ford |
E145641
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clara Jane Bryant Ford |
E145641
|
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: Clara Jane Bryant Ford | Statement: [Clara Jane Bryant Ford, name, Clara Jane Bryant Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Jane Bryant Ford Context triple: [Clara Jane Bryant Ford, name, Clara Jane Bryant Ford]
-
A.
Clara Jane Bryant Ford
chosen
Clara Jane Bryant Ford was an American philanthropist and social activist best known as the longtime wife and partner of industrialist Henry Ford.
-
B.
Eleanor Clay Ford
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.
-
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.
Josephine Clay Ford
Josephine Clay Ford was an American heiress and philanthropist from the prominent Ford family, known for her charitable contributions to arts and education.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffc5e7c81908e1c454d3bfd357b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059e7636c819082cc18b1913c08c9 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:36 p.m.