Triple
T28526185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danforth |
E721910
|
entity |
| Predicate | bearerPositionNumber |
P171788
|
FINISHED |
| Object | 44th Vice President of the United States |
—
|
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: 44th Vice President of the United States | Statement: [Danforth, bearerPositionNumber, 44th Vice President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerPositionNumber Context triple: [Danforth, bearerPositionNumber, 44th Vice President of the United States]
-
A.
bearerPosition
Indicates the spatial or positional relationship of a bearer (holder or carrier) relative to the item or entity it bears.
-
B.
rackPosition
Indicates the spatial placement or slot of an item within a rack or racking system.
-
C.
bandPositionDeterminedBy
Indicates that the position or placement of a band (e.g., in an ordering, ranking, or structure) is determined or fixed based on another specified factor, rule, or entity.
-
D.
badgePosition
Indicates the spatial or layout position where a badge is placed relative to another element or context.
-
E.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a28b8ea881908733485374771c51 |
completed | May 3, 2026, 1:19 a.m. |
Created at: April 28, 2026, 3:24 a.m.