Triple
T893584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reince Priebus |
E19292
|
entity |
| Predicate | notablePositionEnd |
P20778
|
FINISHED |
| Object | Chair of the Republican National Committee 2017 |
—
|
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: Chair of the Republican National Committee 2017 | Statement: [Reince Priebus, notablePositionEnd, Chair of the Republican National Committee 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePositionEnd Context triple: [Reince Priebus, notablePositionEnd, Chair of the Republican National Committee 2017]
-
A.
notableHolder
Indicates that a person or entity is a distinguished or prominent holder of a particular position, title, or role.
-
B.
notableTarget
Indicates that the subject is particularly significant, prominent, or noteworthy with respect to the specified target.
-
C.
notableCenter
Indicates that an entity is recognized as an important or prominent central point, hub, or focal location for another entity or activity.
-
D.
notableElement
Indicates that an entity has a component, feature, or part that is especially significant, prominent, or noteworthy in relation to it.
-
E.
namePosition
Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4a38ec8190915916d80299ab55 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.