Triple
T5842534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kering |
E129626
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Brioni |
E549694
|
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: Brioni | Statement: [Kering, hasSubsidiary, Brioni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brioni Context triple: [Kering, hasSubsidiary, Brioni]
-
A.
Brioni
chosen
Brioni is an Italian luxury menswear brand renowned for its high-end tailored suits and sartorial craftsmanship.
-
B.
Armani
Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
-
C.
Cerruti
Cerruti is a Spanish-language surname of Italian origin borne by various notable individuals in fields such as politics, sports, and the arts.
-
D.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
E.
La Senza
La Senza is a Canadian-based lingerie and intimate apparel retailer known for its affordable, fashion-focused underwear and sleepwear collections.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d9da0c8190970319d0dc2fc73f |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0fb0f68819091018926ee4c7bb8 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.