Triple
T10714586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sleeping Lady figurine |
E252627
|
entity |
| Predicate | bodyTypeDepicted |
P95609
|
FINISHED |
| Object | corpulent |
—
|
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: corpulent | Statement: [The Sleeping Lady figurine, bodyTypeDepicted, corpulent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyTypeDepicted Context triple: [The Sleeping Lady figurine, bodyTypeDepicted, corpulent]
-
A.
bodyNumber
Indicates the numerical position or identifier assigned to a body within a sequence or collection of bodies.
-
B.
carBodyStyle
Indicates the specific body configuration or design style that characterizes a car (e.g., sedan, hatchback, SUV).
-
C.
carbodyMaterial
Indicates the material from which a vehicle’s body or main structural shell is made.
-
D.
vehicleType
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
-
E.
hasBodyColor
Indicates that an entity possesses a particular body color as one of its attributes.
- F. None of above. chosen
Provenance (4 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff324d1881908b7cdf4ac208125f |
completed | April 9, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:13 p.m.