Triple
T24616289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Cooper |
E609268
|
entity |
| Predicate | previousOfficeStart |
P141867
|
FINISHED |
| Object | Attorney General of North Carolina in 2001 |
—
|
NE NERFINISHED |
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: Attorney General of North Carolina in 2001 | Statement: [Roy Cooper, previousOfficeStart, Attorney General of North Carolina in 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousOfficeStart Context triple: [Roy Cooper, previousOfficeStart, Attorney General of North Carolina in 2001]
-
A.
previousOffice
Indicates that one office or position was held immediately before another in a sequence of offices.
-
B.
previousOfficeHolderStartTime
Indicates the date and time when the immediately preceding office holder first began their term in that office.
-
C.
previousOfficeStartTime
chosen
Indicates that one office term or position began earlier in time than another office term or position.
-
D.
lastOfficeHolderStartDate
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
E.
officePreviouslyHeldBy
Indicates that a particular office or position was formerly occupied by a specified person or entity.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.