Triple
T564362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vision After the Sermon |
E13521
|
entity |
| Predicate | costumeDepicted |
P5541
|
FINISHED |
| Object | traditional Breton dress |
—
|
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: traditional Breton dress | Statement: [Vision After the Sermon, costumeDepicted, traditional Breton dress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costumeDepicted Context triple: [Vision After the Sermon, costumeDepicted, traditional Breton dress]
-
A.
costumeType
chosen
Indicates the specific kind or category of costume associated with an entity.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
D.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
-
E.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a735b2881908293ad21ad41cdd6 |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.