Triple
T29774370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edenton Academy |
E755337
|
entity |
| Predicate | alumniHeldOffice |
P112779
|
FINISHED |
| Object | Governor of North Carolina |
—
|
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 North Carolina | Statement: [Edenton Academy, alumniHeldOffice, Governor of North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alumniHeldOffice Context triple: [Edenton Academy, alumniHeldOffice, Governor of North Carolina]
-
A.
officeHoldersWere
Indicates that certain individuals held specific offices or positions during a particular time or context.
-
B.
officeHolders
Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
-
C.
hasMemberWhoHeldOffice
chosen
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
D.
appointedOfficeHolders
Indicates that an authority or body has formally selected and installed specific individuals into particular offices or positions.
-
E.
officeHoldersServeIn
Indicates that certain office holders perform their official duties or occupy their roles within a specified office, institution, or jurisdiction.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6746475688190812a07a81f942e2b |
completed | May 2, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:45 p.m.