Triple
T26036652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiruppavai |
E647568
|
entity |
| Predicate | associatedIconography |
P169845
|
FINISHED |
| Object | Andal with parrot and garland |
—
|
NE NERFINISHED |
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: Andal with parrot and garland | Statement: [Tiruppavai, associatedIconography, Andal with parrot and garland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedIconography Context triple: [Tiruppavai, associatedIconography, Andal with parrot and garland]
-
A.
iconographicallyAssociatedWith
Indicates that two entities are related through shared or corresponding visual symbols, motifs, or iconographic representations.
-
B.
iconographicSignificance
Indicates the symbolic or representational meaning that something holds within a particular visual or iconographic context.
-
C.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
D.
iconographicCategory
Indicates the classification of an entity based on the type or theme of its visual or symbolic representation.
-
E.
has iconography
chosen
Indicates that one entity is visually represented, symbolized, or depicted through the imagery or symbols 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 22, 2026, 9:08 a.m.