Triple
T4353334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perceptrons |
E98083
|
entity |
| Predicate | impactOnDebate |
P9239
|
FINISHED |
| Object | shaped symbolic vs connectionist AI debates |
—
|
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: shaped symbolic vs connectionist AI debates | Statement: [Perceptrons, impactOnDebate, shaped symbolic vs connectionist AI debates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnDebate Context triple: [Perceptrons, impactOnDebate, shaped symbolic vs connectionist AI debates]
-
A.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
-
B.
partOfDebate
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
C.
influencedDiscussionOf
chosen
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
D.
keyFigureInDebate
Indicates that an entity plays a central, influential, or prominently recognized role in a particular debate or controversy.
-
E.
inAcademicDebate
Indicates that one entity is engaged in a formal, scholarly argument or discussion with another entity, typically following academic norms and methods of reasoning.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c281688190aef717c4ecce8107 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:15 p.m.