Triple
T1640996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adlai E. Stevenson I |
E35469
|
entity |
| Predicate | candidateForOffice |
P1792
|
FINISHED |
| Object | 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: Vice President of the United States | Statement: [Adlai E. Stevenson I, candidateForOffice, Vice President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: candidateForOffice Context triple: [Adlai E. Stevenson I, candidateForOffice, Vice President of the United States]
-
A.
nominatedForOffice
chosen
Indicates that an entity has been formally put forward as a candidate to hold a particular office or position.
-
B.
candidateNomination
Indicates that an individual is formally put forward or proposed as a candidate for a position, role, or office.
-
C.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
D.
couldElect
Indicates that one entity has the potential or ability, under certain conditions or rules, to choose another entity for an office, role, or position through an election.
-
E.
eligibleForOffice
Indicates that an entity meets the necessary requirements or qualifications to hold a particular office or position.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.