Triple
T1651449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Reagan |
E35700
|
entity |
| Predicate | endTimeAsFirstLadyOfCalifornia |
P30908
|
FINISHED |
| Object | 1975-01-06 |
—
|
LITERAL 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: 1975-01-06 | Statement: [Nancy Reagan, endTimeAsFirstLadyOfCalifornia, 1975-01-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsFirstLadyOfCalifornia Context triple: [Nancy Reagan, endTimeAsFirstLadyOfCalifornia, 1975-01-06]
-
A.
servedAsFirstLadyOfTheUnitedStatesFrom
Indicates that a person held the role of First Lady of the United States during a specified time period.
-
B.
precededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person served as First Lady of the United States immediately before another person.
-
C.
succeededAsFirstLadyOfTheUnitedStatesBy
Indicates that one person ceased serving as First Lady of the United States and was directly followed in that role by another specific person.
-
D.
signatureProjectAsFirstLady
Indicates that the person’s primary or most notable initiative or cause during their tenure as First Lady is this particular project.
-
E.
isFirstFemaleHolderOfOffice
Indicates that a person is the first woman ever to hold a particular office or position.
- F. None of above. chosen
Provenance (4 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a949509d508190a3a35554996823de |
completed | March 5, 2026, 9:13 a.m. |
Created at: March 4, 2026, 7:29 p.m.