Triple
T1671297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marilyn Diptych |
E36130
|
entity |
| Predicate | imageArrangement |
P2362
|
FINISHED |
| Object | five rows of ten images |
—
|
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: five rows of ten images | Statement: [Marilyn Diptych, imageArrangement, five rows of ten images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageArrangement Context triple: [Marilyn Diptych, imageArrangement, five rows of ten images]
-
A.
arrangement
chosen
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
B.
needleArrangement
Indicates how needles are positioned or organized relative to each other in a given context.
-
C.
cylinderArrangement
Indicates how multiple cylinders are positioned or organized relative to one another.
-
D.
paintingAlignment
Indicates the orientation or directional arrangement of a painting relative to a reference frame or surface.
-
E.
hasArrangement
Indicates that one entity possesses, follows, or is organized according to a particular configuration, setup, or ordering defined by 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.