Triple
T1456130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Nixon |
E31403
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Betty Ford |
E69550
|
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: Betty Ford | Statement: [Pat Nixon, succeededBy, Betty Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Ford Context triple: [Pat Nixon, succeededBy, Betty Ford]
-
A.
Betty Ford
chosen
Betty Ford was the First Lady of the United States from 1974 to 1977 and a prominent advocate for women's rights and addiction treatment, co-founding the Betty Ford Center.
-
B.
Nancy Reagan
Nancy Reagan was an American actress and First Lady of the United States, known for her influential role in the Reagan administration and her "Just Say No" anti-drug campaign.
-
C.
Pat Nixon
Pat Nixon was the First Lady of the United States from 1969 to 1974, known for her extensive humanitarian work and public outreach during Richard Nixon’s presidency.
-
D.
Barbara Bush
Barbara Bush was the former First Lady of the United States and a prominent advocate for family literacy, known for her down-to-earth style and public service.
-
E.
Carol Cleveland
Carol Cleveland is a British-American actress and comedian best known for her frequent appearances in the Monty Python television series and films.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c581714881909bf4c2bad9645176 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada962149881908c6ecba8347e22d7 |
completed | March 8, 2026, 4:52 p.m. |
Created at: March 1, 2026, 8 p.m.