Triple
T16181161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentino Rossi |
E392685
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Valentino |
E57151
|
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: Valentino | Statement: [Valentino Rossi, givenName, Valentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valentino Context triple: [Valentino Rossi, givenName, Valentino]
-
A.
Valentino
chosen
Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
-
B.
Valentino
Valentino is a 1977 biographical drama film about silent film icon Rudolph Valentino, directed by Ken Russell.
-
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.
Alessandro Berluti
Alessandro Berluti was an Italian shoemaker and craftsman best known as the founder of the luxury footwear and leather goods brand Berluti.
-
E.
Emanuel Ungaro
Emanuel Ungaro was a renowned French fashion designer celebrated for his vibrant colors, bold prints, and sensuous, feminine silhouettes.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205c92b48190b7125dbbcff3662e |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.