Triple
T15553806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailey Bieber |
E370817
|
entity |
| Predicate | hasModeledFor |
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: [Hailey Bieber, hasModeledFor, Miu Miu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miu Miu Context triple: [Hailey Bieber, hasModeledFor, 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 the Italian noble title traditionally used to designate a woman holding the rank of marquess.
-
C.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
D.
Chic-ism
Chic-ism is a 1992 studio album by the American disco and funk band Chic that marked their comeback with a blend of classic groove-oriented production and contemporary dance sounds.
-
E.
Kumpire Dior
Kumpire Dior is a high mountain peak in the remote Batura Muztagh subrange of the Karakoram in northern Pakistan.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456209288190aba6debd434af741 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.