Triple
T10607842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | little black dress |
E275922
|
entity |
| Predicate | hasTypicalWearer |
P84687
|
FINISHED |
| Object | women |
—
|
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: women | Statement: [little black dress, hasTypicalWearer, women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalWearer Context triple: [little black dress, hasTypicalWearer, women]
-
A.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
-
B.
wearerMust
Indicates that a specified item or object is required to be worn by a particular entity under certain conditions or rules.
-
C.
typicallyWornBy
chosen
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
-
D.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
E.
wearableBy
Indicates that one entity is designed or suitable to be worn on the body by another entity.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:32 p.m.