Triple
T17200581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Hermaphroditus |
E417462
|
entity |
| Predicate | showsFigurePose |
P15582
|
FINISHED |
| Object | sleeping |
—
|
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: sleeping | Statement: [Sleeping Hermaphroditus, showsFigurePose, sleeping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsFigurePose Context triple: [Sleeping Hermaphroditus, showsFigurePose, sleeping]
-
A.
showsPose
chosen
Indicates that one entity displays or presents a particular pose or bodily posture of another entity.
-
B.
positionDepicted
Indicates that one entity visually represents or depicts the spatial position or placement of another entity.
-
C.
trainedFigure
Indicates that one entity has been trained, coached, or otherwise prepared by another entity.
-
D.
publicFigure
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
E.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daf2e5c81909c97d2e7a3ed7b88 |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.