Triple
T3989561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus Victrix (Canova) |
E86953
|
entity |
| Predicate | depictsHairStyle |
P16252
|
FINISHED |
| Object | classical coiffure |
—
|
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: classical coiffure | Statement: [Venus Victrix (Canova), depictsHairStyle, classical coiffure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsHairStyle Context triple: [Venus Victrix (Canova), depictsHairStyle, classical coiffure]
-
A.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
hairDetail
chosen
Indicates a relationship that specifies particular characteristics or attributes of an entity’s hair, such as style, color, length, or texture.
-
E.
tailpieceType
Indicates the specific kind or design of tailpiece associated with an instrument or object.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.