Triple
T16104058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commission on Presidential Debates |
E390693
|
entity |
| Predicate | hasDebateParticipants |
P121947
|
FINISHED |
| Object | major party presidential candidates |
—
|
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: major party presidential candidates | Statement: [Commission on Presidential Debates, hasDebateParticipants, major party presidential candidates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDebateParticipants Context triple: [Commission on Presidential Debates, hasDebateParticipants, major party presidential candidates]
-
A.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
B.
hasDebateStatus
Indicates that an entity (such as a topic, motion, or issue) is associated with a particular stage or condition within a debate process (e.g., proposed, ongoing, concluded).
-
C.
hasDebatedPerson
Indicates that one person has engaged in a debate or formal argumentative discussion with another person.
-
D.
hasDebateTerm
Indicates that an entity is associated with, or characterized by, a specific term used in a debate or argumentative context.
-
E.
hasDebateFormat
Indicates that a particular debate, event, or context uses or follows a specified debate format or structure.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6a4b8881908e8dc186381196d8 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5 a.m.