Triple
T22718966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reagan–Carter presidential debate of October 28, 1980 |
E561808
|
entity |
| Predicate | numberOfDebatesBetweenCarterAndReagan |
P9217
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Reagan–Carter presidential debate of October 28, 1980, numberOfDebatesBetweenCarterAndReagan, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDebatesBetweenCarterAndReagan Context triple: [Reagan–Carter presidential debate of October 28, 1980, numberOfDebatesBetweenCarterAndReagan, 1]
-
A.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
B.
firstTelevisedDebateDate
Indicates the calendar date on which the first televised debate involving the entity took place.
-
C.
hasDebatedPerson
Indicates that one person has engaged in a debate or formal argumentative discussion with another person.
-
D.
hasDebateAround
Indicates that there is ongoing discussion, disagreement, or controversy surrounding the referenced entity or topic.
-
E.
debateCountGeneralElection
chosen
Indicates the number of debates held in the context of a general election.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790fbf9c819082ba7b48801a7b39 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:19 p.m.