Triple
T29774368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edenton Academy |
E755337
|
entity |
| Predicate | hasNotablePupilFuturePosition |
P99651
|
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, hasNotablePupilFuturePosition, Governor of North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePupilFuturePosition Context triple: [Edenton Academy, hasNotablePupilFuturePosition, Governor of North Carolina]
-
A.
hasPupilFutureRole
chosen
Indicates that a pupil is expected or designated to hold a specific role or position in the future.
-
B.
hasNotablePosition
Indicates that an entity holds or has held a position, role, or office considered notable or significant.
-
C.
notablePupil
Indicates that one person is a distinguished or noteworthy student or protégé of another person.
-
D.
notableMemberFutureAct
Indicates that an entity is expected or planned to become a notable member of a group, organization, or activity in the future.
-
E.
hasNotableEarlyCareerAppearanceOf
Indicates that an entity features or includes a significant appearance by another entity during the latter’s early career.
- 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_69ffebbd9bac8190b3dca4b7252a2278 |
completed | May 10, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69ffe93120a08190a44bb64d052eda78 |
completed | May 10, 2026, 2:10 a.m. |
Created at: April 28, 2026, 8:45 p.m.