Triple
T13867266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia May Jagger |
E333355
|
entity |
| Predicate | modeledFor |
P2006
|
FINISHED |
| Object | Roberto Cavalli |
E179096
|
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: Roberto Cavalli | Statement: [Georgia May Jagger, modeledFor, Roberto Cavalli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roberto Cavalli Context triple: [Georgia May Jagger, modeledFor, Roberto Cavalli]
-
A.
Roberto Cavalli
chosen
Roberto Cavalli is an Italian fashion designer renowned for his glamorous, animal-print–driven aesthetic and luxury clothing and accessories brand.
-
B.
Giorgio Armani
Giorgio Armani is an Italian fashion designer and founder of the Armani brand, renowned for his minimalist, elegant tailoring and major influence on modern luxury fashion.
-
C.
Stefano Gabbana
Stefano Gabbana is an Italian fashion designer best known as the co-founder of the luxury fashion house Dolce & Gabbana.
-
D.
Emilio Pucci
Emilio Pucci was an Italian fashion designer renowned for his vibrant, geometric prints and influential mid-20th-century luxury clothing brand.
-
E.
Valentino
Valentino is a 1977 biographical drama film about silent film icon Rudolph Valentino, directed by Ken Russell.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c1039128819086cfe9f966b9f142 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.