Triple
T1058921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiram Revels |
E22859
|
entity |
| Predicate | wasA |
P24342
|
FINISHED |
| Object | Reconstruction-era politician |
—
|
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: Reconstruction-era politician | Statement: [Hiram Revels, wasA, Reconstruction-era politician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasA Context triple: [Hiram Revels, wasA, Reconstruction-era politician]
-
A.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
B.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
-
C.
wasOriginally
Indicates that an entity had a particular state, form, type, or affiliation at an earlier time, which has since changed.
-
D.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
-
E.
wasBeaten
Indicates that one entity defeated or physically overpowered another in a contest, conflict, or confrontation.
- F. None of above. chosen
Provenance (4 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4ba6e35ac8190802341c31bda0e3b |
completed | March 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69a4b7340a048190807363f19d17a58f |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4ba6d44c08190bf0ab28661ed8ca0 |
completed | March 1, 2026, 10:15 p.m. |
Created at: March 1, 2026, 7:42 p.m.