Triple
T14123631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Amelia Windsor |
E339965
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Bulgari |
E317092
|
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: Bulgari | Statement: [Lady Amelia Windsor, hasModeledFor, Bulgari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulgari Context triple: [Lady Amelia Windsor, hasModeledFor, Bulgari]
-
A.
Bulgari
chosen
Bulgari is a renowned Italian luxury brand celebrated for its high-end jewelry, watches, accessories, and fragrances.
-
B.
Bulga
Bulga is a rural locality in the Singleton Shire of New South Wales, Australia, known for its agricultural landscape and proximity to the Hunter Valley region.
-
C.
Brixia
Brixia is the ancient Roman name for the Italian city of Brescia, historically known as an important settlement in northern Italy.
-
D.
Rumen
Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
-
E.
Bulgaria
Bulgaria is a Southeast European country on the Balkan Peninsula, known for its rich historical heritage, diverse landscapes, and role as a member of the European Union and NATO.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6095548881908a9e66adccca92d2 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0a7a7c8190860d8ce47b5f0732 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.