Triple
T3756209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Language of Thought |
E82052
|
entity |
| Predicate | hasImpactOnDebate |
P8604
|
FINISHED |
| Object | connectionism vs. classical AI |
—
|
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: connectionism vs. classical AI | Statement: [The Language of Thought, hasImpactOnDebate, connectionism vs. classical AI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImpactOnDebate Context triple: [The Language of Thought, hasImpactOnDebate, connectionism vs. classical AI]
-
A.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
B.
hasDebate
chosen
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
C.
partOfDebate
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
D.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
-
E.
notableDebateMoment
Indicates a particularly significant or memorable moment that occurred during a debate, often cited or recalled as especially impactful.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb96dd908190b787b112ecd519df |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.