Triple
T22636886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dying Art of Disagreement |
E558703
|
entity |
| Predicate | positionOnDebate |
P149024
|
FINISHED |
| Object | debate sharpens ideas |
—
|
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: debate sharpens ideas | Statement: [The Dying Art of Disagreement, positionOnDebate, debate sharpens ideas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnDebate Context triple: [The Dying Art of Disagreement, positionOnDebate, debate sharpens ideas]
-
A.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
-
B.
roleInDebates
Indicates the specific function or position an entity holds within the context of one or more debates.
-
C.
partOfDebate
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
D.
goalInDebate
Indicates that one party has a specific objective or desired outcome they are trying to achieve within the context of a debate or argumentative exchange.
-
E.
settingOfDebate
Indicates the context, environment, or circumstances in which a particular debate takes place.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700edb608190ad786ff7fafea0da |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:03 p.m.