Triple
T37330040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalia Chacón |
E926718
|
entity |
| Predicate | endTimeAsFirstLady |
P198668
|
FINISHED |
| Object | 1928 |
—
|
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: 1928 | Statement: [Natalia Chacón, endTimeAsFirstLady, 1928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsFirstLady Context triple: [Natalia Chacón, endTimeAsFirstLady, 1928]
-
A.
endTimeAsFirstLadyOfCalifornia
Indicates the date and time when an individual's tenure as First Lady of California comes to an end.
-
B.
ageAtStartOfFirstLadyRole
Indicates the age a person was when they first assumed the role of First Lady.
-
C.
firstLadyTermApproximateStart
Indicates the approximate date when a person’s tenure as First Lady began.
-
D.
endTime (First Lady of Ohio)
Indicates the point in time at which a person’s tenure as First Lady of Ohio concludes.
-
E.
startTimeAsFirstLadyOfCalifornia
Indicates the date and time when an individual first assumed the role of First Lady of California.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
| PDg | Predicate description generation | batch_69fefa05757481908fa38f5c604afbbe |
completed | May 9, 2026, 9:10 a.m. |
Created at: May 3, 2026, 4:16 p.m.