Triple
T398040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Brown |
E9216
|
entity |
| Predicate | officeHeldDuringPeriod |
P8
|
FINISHED |
| Object | Governor of California (first tenure) |
—
|
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 (first tenure) | Statement: [Jerry Brown, officeHeldDuringPeriod, Governor of California (first tenure)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHeldDuringPeriod Context triple: [Jerry Brown, officeHeldDuringPeriod, Governor of California (first tenure)]
-
A.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
operatedDuring
Indicates that an action, process, or system was functioning or in operation throughout a specified time period or event.
-
C.
enactedDuring
Indicates that an action, event, or state occurred within the temporal span of a specified time period or event.
-
D.
officeHoldersAreUsually
Indicates that individuals holding a particular office or position are typically or generally characterized by a specified property or role.
-
E.
convenedOn
Indicates that an event, meeting, or formal gathering took place or was held on a specific date or time.
- F. None of above.
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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8bcf708190b62e15806159ceb1 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96d17d08190878d3a68b17d51ca |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.