Triple
T38114420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bar suit |
E951751
|
entity |
| Predicate | silhouetteFeature |
P40118
|
FINISHED |
| Object | cinched waist |
—
|
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: cinched waist | Statement: [Bar suit, silhouetteFeature, cinched waist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: silhouetteFeature Context triple: [Bar suit, silhouetteFeature, cinched waist]
-
A.
hasSilhouetteShape
chosen
Indicates that one entity has the overall outline or contour shape specified or characterized by another entity.
-
B.
scoreFeatures
Indicates assigning quantitative scores or evaluations to a set of features based on specified criteria or models.
-
C.
featuresSampling
Indicates that an entity includes or employs a particular method or configuration for sampling.
-
D.
skeletonFeature
Indicates that one entity is a structural or anatomical skeletal feature or component of another entity.
-
E.
empiricalFeature
Indicates that a feature or property is derived from observation or experiment rather than theory or assumption.
- 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_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. |
Created at: May 3, 2026, 4:21 p.m.