Triple
T13477415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz C-Class (W202) |
E318283
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Bruno Sacco |
E1078027
|
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: Bruno Sacco | Statement: [Mercedes-Benz C-Class (W202), designer, Bruno Sacco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno Sacco Context triple: [Mercedes-Benz C-Class (W202), designer, Bruno Sacco]
-
A.
Bruno Sacco
chosen
Bruno Sacco is a renowned Italian automotive designer best known for shaping the modern design language of Mercedes-Benz from the 1970s through the 1990s.
-
B.
Bruno Ferraro
Bruno Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
-
C.
Guido Saracco
Guido Saracco is an Italian chemical engineer and academic who serves as rector of the Polytechnic University of Turin.
-
D.
Sandro Corsaro
Sandro Corsaro is an American animator, writer, and producer best known for creating the Disney XD animated series "Kick Buttowski: Suburban Daredevil."
-
E.
Bruno Siciliano
Bruno Siciliano is an Italian roboticist and professor renowned for his influential research, leadership, and educational contributions in the field of robotics and automation.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08698e0819084f3098d471e7dc9 |
completed | May 7, 2026, 5:48 p.m. |
Created at: April 9, 2026, 9:42 p.m.