Triple
T1778232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippias Major |
E39228
|
entity |
| Predicate | characterRoleOfHippias |
P23263
|
FINISHED |
| Object | sophist |
—
|
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: sophist | Statement: [Hippias Major, characterRoleOfHippias, sophist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleOfHippias Context triple: [Hippias Major, characterRoleOfHippias, sophist]
-
A.
featuresCharacterRole
chosen
Indicates that a work includes a character appearing in a specific narrative or functional role.
-
B.
depictsPersonRole
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
C.
roleInWarAndPeace
Indicates that an entity has a specific role or function within the context of the War and Peace conflict or narrative.
-
D.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
E.
relationshipToSocrates
Indicates the specific familial, social, or conceptual connection that one entity has to Socrates.
- F. None of above.
Provenance (3 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. |
Created at: March 4, 2026, 7:31 p.m.