Triple
T5512215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cyclops |
E144590
|
entity |
| Predicate | hasFigurePose |
P15582
|
FINISHED |
| Object | reclining nymph |
—
|
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: reclining nymph | Statement: [The Cyclops, hasFigurePose, reclining nymph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFigurePose Context triple: [The Cyclops, hasFigurePose, reclining nymph]
-
A.
showsPose
chosen
Indicates that one entity displays or presents a particular pose or bodily posture of another entity.
-
B.
hasSeatingPose
Indicates that an entity is in a seated posture or arrangement, specifying how it is positioned while sitting.
-
C.
hasPortrait
Indicates that one entity possesses, displays, or is associated with a portrait depicting another entity.
-
D.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
E.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f581c5081909a8f6d4653edb125 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.