Triple
T26483967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Head to Toe |
E664768
|
entity |
| Predicate | illustrationCharacteristic |
P16367
|
FINISHED |
| Object | large shapes |
—
|
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: large shapes | Statement: [From Head to Toe, illustrationCharacteristic, large shapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustrationCharacteristic Context triple: [From Head to Toe, illustrationCharacteristic, large shapes]
-
A.
artisticCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
B.
oftenIllustratedBy
Indicates that something is frequently depicted, represented, or exemplified through a particular image, example, or illustration.
-
C.
hasIllustrations
Indicates that an entity includes or is accompanied by visual illustrations.
-
D.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
E.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612fd2bdc8190b5f8bcd31b57186f |
completed | May 2, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 12:29 a.m.