Triple
T6134193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1952 United States presidential election |
E136792
|
entity |
| Predicate | StevensonPriorPosition |
P45872
|
FINISHED |
| Object | Governor of Illinois |
—
|
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 Illinois | Statement: [1952 United States presidential election, StevensonPriorPosition, Governor of Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: StevensonPriorPosition Context triple: [1952 United States presidential election, StevensonPriorPosition, Governor of Illinois]
-
A.
mayHavePriorRole
chosen
Indicates that an entity is allowed or expected to have held a specified role at some earlier time.
-
B.
precededByAsHomeSecretary
Indicates that one individual previously held the position of Home Secretary before another individual.
-
C.
formerDirector
Indicates that one entity previously held the position of director of the other entity but no longer does.
-
D.
formerCoPilotOf
Indicates that one entity previously served as the co-pilot of another entity, but no longer holds that role.
-
E.
precededByAsViceroyOfIndia
Indicates that one individual previously served as Viceroy of India immediately before another individual in the succession of that office.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c7f34d081909e589b201b22be21 |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.