Triple
T28680574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yusuf Ismail |
E725993
|
entity |
| Predicate | debateStyle |
P165212
|
FINISHED |
| Object | evidential argumentation |
—
|
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: evidential argumentation | Statement: [Yusuf Ismail, debateStyle, evidential argumentation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debateStyle Context triple: [Yusuf Ismail, debateStyle, evidential argumentation]
-
A.
debateModerator
Indicates that one entity serves as the moderator overseeing and managing a debate involving another entity or entities.
-
B.
canDebate
Indicates that one entity has the ability or permission to engage in a debate or argumentative discussion with another entity.
-
C.
settingOfDebate
Indicates the context, environment, or circumstances in which a particular debate takes place.
-
D.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
E.
debateOrganizer
Indicates that one entity is responsible for organizing, coordinating, or managing a debate involving another entity or entities.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 5:09 a.m.