Triple
T7555506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose |
E178655
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Rossi |
E148330
|
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: Rossi | Statement: [Rose, hasVariant, Rossi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rossi Context triple: [Rose, hasVariant, Rossi]
-
A.
Rossi
chosen
Rossi is a common Italian surname borne by numerous notable figures in fields such as sports, music, politics, and the arts.
-
B.
Theo Rossi
Theo Rossi is an American actor best known for his role as Juan Carlos "Juice" Ortiz on the television series Sons of Anarchy.
-
C.
Valentino Rossi
Valentino Rossi is an Italian motorcycle road racer widely regarded as one of the greatest MotoGP riders of all time, known for his multiple world championships and charismatic personality.
-
D.
Marco Rossi
Marco Rossi is a common Italian personal name shared by numerous individuals across fields such as sports, politics, and the arts.
-
E.
Sergio Rossi
Sergio Rossi is an Italian luxury footwear brand renowned for its high-end, handcrafted women’s shoes and elegant design.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d82dd481908351876edc70c4ec |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856c20258819081761699228b8ba3 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:49 p.m.