Triple
T406938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Jacques Rousseau |
E9403
|
entity |
| Predicate | philosophicalConcept |
P11009
|
FINISHED |
| Object | general will |
—
|
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: general will | Statement: [Jean-Jacques Rousseau, philosophicalConcept, general will]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: philosophicalConcept Context triple: [Jean-Jacques Rousseau, philosophicalConcept, general will]
-
A.
philosophicalTheme
Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
-
B.
philosophicalTradition
Indicates a relationship where an entity is associated with, belongs to, or is characterized by a particular philosophical school, movement, or line of thought.
-
C.
philosophicalPositionExpressed
Indicates that an entity articulates, endorses, or otherwise conveys a specific philosophical stance, view, or doctrine.
-
D.
translationPhilosophy
Indicates the guiding approach or set of principles that governs how a text is translated from one language to another.
-
E.
notablePhilosopher
Indicates that the subject is recognized as a philosopher of particular significance or influence.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbd766c8190bb8a91605929156a |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e971a3a481909e6b075f25dd234a |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea4545608190898436c72e10f39d |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.