Triple
T19448160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On War |
E486538
|
entity |
| Predicate | approachToTheory |
P135927
|
FINISHED |
| Object | emphasizes theory as guide, not fixed rules |
—
|
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: emphasizes theory as guide, not fixed rules | Statement: [On War, approachToTheory, emphasizes theory as guide, not fixed rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToTheory Context triple: [On War, approachToTheory, emphasizes theory as guide, not fixed rules]
-
A.
developsTheory
Indicates that one entity formulates, elaborates, or advances a theoretical framework or explanation concerning another entity.
-
B.
appliesTheory
Indicates that an entity uses or implements a particular theory in analyzing, explaining, or addressing something.
-
C.
theoreticalInspiration
Indicates that one entity serves as a conceptual or intellectual source of ideas, models, or frameworks that inform or shape the theory or approach of another entity.
-
D.
presentsTheory
Indicates that one entity formally puts forward or explains a theory to another entity or audience.
-
E.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338be5a48190973d9ecae853900c |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:38 p.m.