Triple
T12570101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Olson |
E295577
|
entity |
| Predicate | left office in |
P171
|
FINISHED |
| Object | January 2021 |
—
|
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: January 2021 | Statement: [Pete Olson, left office in, January 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: left office in Context triple: [Pete Olson, left office in, January 2021]
-
A.
leftOffice
chosen
Indicates that an entity ceased holding or performing the duties of a particular office or position.
-
B.
leftOfficeAsVicePresident
Indicates that an individual ceased holding the position of vice president, marking the end of their term in that office.
-
C.
servesAsOfficeOf
Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
-
D.
placeOfOffice
Indicates the location where an office or official position is held or based.
-
E.
stateOfOffice
Indicates the current condition or operational status of an office (such as open, closed, under renovation, or active/inactive).
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:50 p.m.