Triple
T165642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President pro tempore of the California State Senate |
E3008
|
entity |
| Predicate | worksWithOffice |
P5652
|
FINISHED |
| Object | Governor of California |
—
|
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: Governor of California | Statement: [President pro tempore of the California State Senate, worksWithOffice, Governor of California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksWithOffice Context triple: [President pro tempore of the California State Senate, worksWithOffice, Governor of California]
-
A.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
B.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
C.
affectsOffice
Indicates that one entity has an influence or impact on the condition, function, or status of an office.
-
D.
combinedWithOffice
Indicates that something is joined or integrated together with an office, typically forming a combined role, function, or arrangement.
-
E.
recognizedAsOfficeSince
Indicates that an entity has been officially designated or acknowledged as an office starting from a specific point in time.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a25883ac8481909616b2179561bd98 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a25664ba8081908ac298511a9fc5ba |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256eb46ec81909c730000e5041d0d |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.