Triple
T104237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baruch Spinoza |
E2104
|
entity |
| Predicate | viewOnMindBody |
P5769
|
FINISHED |
| Object | mind-body parallelism |
—
|
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: mind-body parallelism | Statement: [Baruch Spinoza, viewOnMindBody, mind-body parallelism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnMindBody Context triple: [Baruch Spinoza, viewOnMindBody, mind-body parallelism]
-
A.
viewOnState
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding a specific state or condition.
-
B.
viewsGraceAs
Indicates that one entity regards or perceives Grace in a particular way or role.
-
C.
viewOnEducation
Indicates a stance, opinion, or perspective that an entity holds regarding education or educational matters.
-
D.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
viewOnChurchState
Indicates a stance or opinion an entity holds regarding the proper relationship between religious institutions and governmental authority.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25711f6788190a22252ea3a3af394 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563be81c81908ccc5ed44edd6b8e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2570f45bc81909ebba7ee5f602976 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.