Triple
T35914444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Phoenix" portrait type |
E1038705
|
entity |
| Predicate | hasIconographicPair |
P22600
|
FINISHED |
| Object | "Pelican" portrait type |
—
|
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: "Pelican" portrait type | Statement: ["Phoenix" portrait type, hasIconographicPair, "Pelican" portrait type]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIconographicPair Context triple: ["Phoenix" portrait type, hasIconographicPair, "Pelican" portrait type]
-
A.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
-
B.
hasIcons
Indicates that one entity possesses, includes, or is associated with one or more icons in relation to another entity or context.
-
C.
has iconography
Indicates that one entity is visually represented, symbolized, or depicted through the imagery or symbols associated with another entity.
-
D.
hasIconicCharacter
Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
-
E.
iconographicVariantOf
chosen
Indicates that one representation is an alternative visual or stylistic depiction of the same subject as another representation.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.