Triple
T11282273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decora fashion |
E267092
|
entity |
| Predicate | typicalAccessoryType |
P74466
|
FINISHED |
| Object | hair clips |
—
|
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: hair clips | Statement: [Decora fashion, typicalAccessoryType, hair clips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAccessoryType Context triple: [Decora fashion, typicalAccessoryType, hair clips]
-
A.
accessory
Indicates that one entity serves as a supplementary or supporting item to another, often enhancing its function, use, or appearance.
-
B.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
-
C.
braceletType
Indicates the specific kind or category of bracelet that an entity is associated with.
-
D.
hasAccessoryType
chosen
Indicates that an entity is associated with or characterized by a particular type or category of accessory.
-
E.
typicalJewellery
Indicates that the object is a kind of jewellery that is commonly or characteristically associated with the given 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e96e15708190b3a1cccfbbe65882 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.