Triple
T28251413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ion (dialogue) |
E712319
|
entity |
| Predicate | conclusionCharacterization |
P164217
|
FINISHED |
| Object | Ion cannot give a technē-based account of his skill |
—
|
NE NERFINISHED |
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: Ion cannot give a technē-based account of his skill | Statement: [Ion (dialogue), conclusionCharacterization, Ion cannot give a technē-based account of his skill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conclusionCharacterization Context triple: [Ion (dialogue), conclusionCharacterization, Ion cannot give a technē-based account of his skill]
-
A.
resultCharacterization
Indicates how the outcome of an event, process, or action is qualitatively described or characterized.
-
B.
titleCharacterization
Indicates how a title characterizes, describes, or frames an associated entity (such as a work, person, or concept).
-
C.
stanceCharacterization
Indicates how an entity’s attitude, position, or viewpoint toward another entity, claim, or issue is characterized.
-
D.
studyCharacterization
Indicates a relationship where an entity conducts a detailed examination or analysis to characterize or define the properties, behavior, or features of another entity.
-
E.
theoryCharacterization
Indicates that one entity provides a defining description, formulation, or account of a theory associated with another entity.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643f08e308190bd247db4d494ba59 |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:05 p.m.