Triple
T10334264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinckney Plan |
E242958
|
entity |
| Predicate | proposedExecutiveTitle |
P25165
|
FINISHED |
| Object | President |
—
|
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: President | Statement: [Pinckney Plan, proposedExecutiveTitle, President]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedExecutiveTitle Context triple: [Pinckney Plan, proposedExecutiveTitle, President]
-
A.
titleOrRole
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
B.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
C.
providedTitle
Indicates that one entity has supplied or assigned a specific title or designation to another entity.
-
D.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
E.
politicalChiefTitle
chosen
Indicates the official title held by the leading political authority of a given entity 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:53 a.m.