Triple
T1404606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Partner of California |
E31661
|
entity |
| Predicate | officeHolderStartEvent |
P27626
|
FINISHED |
| Object | inauguration of Governor Gavin Newsom |
—
|
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: inauguration of Governor Gavin Newsom | Statement: [First Partner of California, officeHolderStartEvent, inauguration of Governor Gavin Newsom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderStartEvent Context triple: [First Partner of California, officeHolderStartEvent, inauguration of Governor Gavin Newsom]
-
A.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
B.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
-
C.
officeStartAsPrimeMinister
Indicates the point in time when an individual begins their term serving in the role of prime minister.
-
D.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
E.
officeHeldDuring
Indicates that a person occupied a specific official position during a particular time period.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c11067b48190bca6ef3ac1475c20 |
completed | March 1, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:59 p.m.