Triple
T26674943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1988 United States vice-presidential debate |
E672431
|
entity |
| Predicate | candidateComparedTo |
P163888
|
FINISHED |
| Object | John F. Kennedy |
—
|
NE NERFINISHED |
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: John F. Kennedy | Statement: [1988 United States vice-presidential debate, candidateComparedTo, John F. Kennedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: candidateComparedTo Context triple: [1988 United States vice-presidential debate, candidateComparedTo, John F. Kennedy]
-
A.
candidateFor
Indicates that one entity is being considered or proposed as a possible choice, option, or selection for another entity (such as a role, position, or outcome).
-
B.
candidateVettingBy
Indicates that a candidate is being evaluated, screened, or vetted by a specified person, group, or process.
-
C.
candidateType
Indicates the classification or category assigned to a candidate within a given context or process.
-
D.
featuredCandidate
Indicates that a particular candidate is highlighted or given special prominence relative to others.
-
E.
opponentCandidate
Indicates that one entity is a rival or competing candidate against another in the same contest or election.
- 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 3:15 a.m.