Triple
T6460232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God the Father on the Rainbow |
E142098
|
entity |
| Predicate | threeDimensionalForm |
P1464
|
FINISHED |
| Object | freestanding sculpture |
—
|
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: freestanding sculpture | Statement: [God the Father on the Rainbow, threeDimensionalForm, freestanding sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threeDimensionalForm Context triple: [God the Father on the Rainbow, threeDimensionalForm, freestanding sculpture]
-
A.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
B.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
has3DModels
Indicates that an entity is associated with one or more three-dimensional (3D) digital models representing it.
-
D.
numberOfSpiredTetrahedrons
Indicates the count of spired tetrahedron structures associated with a given subject.
-
E.
thirdElement
Indicates that one entity is the third element in an ordered sequence or tuple associated with 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f50ea88190af29c8c249ff2b69 |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:48 p.m.