Triple
T18634590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Gigolo |
E455510
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object | Giorgio Armani |
—
|
NE NERFINISHED |
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: Giorgio Armani | Statement: [American Gigolo, costumeDesigner, Giorgio Armani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giorgio Armani Context triple: [American Gigolo, costumeDesigner, Giorgio Armani]
-
A.
Giorgio Armani
chosen
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.
-
B.
Gianfranco Cerruti
Gianfranco Cerruti is an individual notable enough to be recognized as a prominent bearer of the Italian surname Cerruti.
-
C.
Roberto Cavalli
Roberto Cavalli is an Italian fashion designer renowned for his glamorous, animal-print–driven aesthetic and luxury clothing and accessories brand.
-
D.
Roberto Cerruti
Roberto Cerruti is an individual notable enough to be recognized as a prominent bearer of the Cerruti surname.
-
E.
Stefano Gabbana
Stefano Gabbana is an Italian fashion designer best known as the co-founder of the luxury fashion house Dolce & Gabbana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc74d208190bfda63b5b0b160cd |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.