Triple
T1778242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippias Major |
E39228
|
entity |
| Predicate | questionsViewOf |
P32305
|
FINISHED |
| Object | beauty as usefulness |
—
|
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: beauty as usefulness | Statement: [Hippias Major, questionsViewOf, beauty as usefulness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionsViewOf Context triple: [Hippias Major, questionsViewOf, beauty as usefulness]
-
A.
viewedBy
Indicates that something has been seen, observed, or watched by a particular entity.
-
B.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
C.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
D.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
E.
offersViewOf
Indicates that one entity provides a vantage point from which another entity can be seen or visually appreciated.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.