Triple
T13291007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz W25 |
E316558
|
entity |
| Predicate | notableDriver |
P2087
|
FINISHED |
| Object | Luigi Fagioli |
—
|
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: Luigi Fagioli | Statement: [Mercedes-Benz W25, notableDriver, Luigi Fagioli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luigi Fagioli Context triple: [Mercedes-Benz W25, notableDriver, Luigi Fagioli]
-
A.
Luigi Fagioli
chosen
Luigi Fagioli was an Italian racing driver renowned as one of the top Grand Prix competitors of the 1930s and early Formula One era.
-
B.
Luigi Rossi
Luigi Rossi is a notable Italian composer of the early Baroque era, recognized especially for his operas and cantatas.
-
C.
Luigi Alippi
Luigi Alippi is an Italian mountaineer known for pioneering challenging alpine routes, including the first ascent of Cassin's Ridge.
-
D.
Paolo Ajroldi
Paolo Ajroldi is an advertising executive best known for co-founding the global marketing and communications agency TBWA Worldwide.
-
E.
Bruno Ferraro
Bruno Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99077a8f48190b1163448a3a978a2 |
completed | April 11, 2026, 12:06 a.m. |
Created at: April 9, 2026, 9:27 p.m.