Triple
T5859926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jung Ho-yeon |
E130249
|
entity |
| Predicate | modelingFor |
P17880
|
FINISHED |
| Object | Miu Miu |
E161474
|
NE 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: Miu Miu | Statement: [Jung Ho-yeon, modelingFor, Miu Miu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miu Miu Context triple: [Jung Ho-yeon, modelingFor, Miu Miu]
-
A.
Miu Miu
chosen
Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
-
B.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
C.
Marchesa
Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
-
D.
Baby Dior
Baby Dior is the childrenswear and baby fashion line of the French luxury brand Christian Dior, offering high-end clothing and accessories for infants and young children.
-
E.
Chloé
Chloé is a French luxury fashion house renowned for its feminine ready-to-wear, leather goods, and accessories.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c049fbc57481908299d1955692c76b |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c70754819089081fc440ed841e |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.