Triple
T36970784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayou Barbie |
E914560
|
entity |
| Predicate | associatedWithJewelry |
P119454
|
FINISHED |
| Object | eyelashes and nails style |
—
|
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: eyelashes and nails style | Statement: [Bayou Barbie, associatedWithJewelry, eyelashes and nails style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithJewelry Context triple: [Bayou Barbie, associatedWithJewelry, eyelashes and nails style]
-
A.
relationshipWithJewel
chosen
Indicates that one entity has a specified type of relationship or association with a jewel or jewelry item.
-
B.
associatedWithGemstone
Indicates a relationship where something is linked, connected, or related to a specific gemstone.
-
C.
typeOfJewellery
Indicates the specific kind or category of jewellery that an item belongs to.
-
D.
associatedWithRing
Indicates that an entity has a connection or relationship with a specific ring, such as ownership, membership, or involvement.
-
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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.