Triple
T38114439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bar suit |
E951751
|
entity |
| Predicate | waistEmphasis |
P190030
|
FINISHED |
| Object | hourglass silhouette |
—
|
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: hourglass silhouette | Statement: [Bar suit, waistEmphasis, hourglass silhouette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waistEmphasis Context triple: [Bar suit, waistEmphasis, hourglass silhouette]
-
A.
waistlinePosition
Indicates the relative vertical placement of a garment’s waistline on the body (e.g., high, natural, or low).
-
B.
forbidsHoldsBelowWaist
Indicates that one party prohibits another from holding or touching someone below the waist.
-
C.
intendedWeight
Indicates the target or desired weight that an entity is meant or planned to have, rather than its current actual weight.
-
D.
estimatedHeightAtHipsInMeters
Indicates the estimated vertical height, measured in meters, of an entity at the level of its hips.
-
E.
bodyThickness
Indicates the measured or relative thickness of an entity’s body in the context of a comparison or description.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.