Triple
T1765409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue People |
E38750
|
entity |
| Predicate | associatedWithClothing |
P15063
|
FINISHED |
| Object | indigo-dyed veils |
—
|
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: indigo-dyed veils | Statement: [Blue People, associatedWithClothing, indigo-dyed veils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithClothing Context triple: [Blue People, associatedWithClothing, indigo-dyed veils]
-
A.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
B.
alsoWornIn
Indicates that an item of clothing or accessory is additionally worn in another context, location, or time beyond the primary one mentioned.
-
C.
wornAs
Indicates that one entity is used or put on as clothing, an accessory, or a wearable item by another entity.
-
D.
wornOver
Indicates that one item of clothing or accessory is positioned on top of and covering another item when worn.
-
E.
garmentType
chosen
Indicates the specific kind or category of garment associated with an 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.