Triple
T6006244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kering |
E133716
|
entity |
| Predicate | brandPortfolio |
P12124
|
FINISHED |
| Object | Saint Laurent |
E170787
|
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: Saint Laurent | Statement: [Kering, brandPortfolio, Saint Laurent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Laurent Context triple: [Kering, brandPortfolio, Saint Laurent]
-
A.
Balmain
Balmain is a French luxury fashion house renowned for its opulent, sharply tailored designs and influential presence on international runways.
-
B.
Balmain
Balmain is a historic inner-west suburb of Sydney, Australia, known for its waterfront location on Sydney Harbour, preserved Victorian architecture, and vibrant pub and café culture.
-
C.
Givenchy
Givenchy is a renowned French luxury fashion and perfume house known for its haute couture, ready-to-wear collections, and iconic collaborations with celebrities and models.
-
D.
Yves Saint Laurent
chosen
Yves Saint Laurent is a legendary French fashion designer renowned for revolutionizing women’s fashion with modern, androgynous styles and founding the luxury brand YSL.
-
E.
Kenzo
Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f128354819088971ee398cbda77 |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1250c82588190af8102263c1bd242 |
completed | March 23, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:06 p.m.