Triple
T31959456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aita |
E815993
|
entity |
| Predicate | iconographicInfluenceFrom |
P56818
|
FINISHED |
| Object | Greek Hades |
—
|
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: Greek Hades | Statement: [Aita, iconographicInfluenceFrom, Greek Hades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicInfluenceFrom Context triple: [Aita, iconographicInfluenceFrom, Greek Hades]
-
A.
iconographyInfluence
Indicates that one entity’s visual symbols, motifs, or stylistic elements have shaped or informed the iconographic style or imagery of another entity.
-
B.
iconographicSource
chosen
Indicates that one entity serves as the visual or symbolic source, model, or reference for the iconography or imagery of another entity.
-
C.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
D.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
E.
inArtAndIconography
Indicates that one entity is depicted, represented, or symbolically expressed through artistic works or iconographic imagery related to 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2b1de00819083a9d5654452e4cd |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:08 a.m.