Triple
T16094305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House of Oriel |
E390442
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object | Nico Rosberg |
E320939
|
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: Nico Rosberg | Statement: [The House of Oriel, hasNotableAlumnus, Nico Rosberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nico Rosberg Context triple: [The House of Oriel, hasNotableAlumnus, Nico Rosberg]
-
A.
Nico Rosberg
chosen
Nico Rosberg is a German former Formula One driver and 2016 World Drivers' Champion who raced primarily for Mercedes.
-
B.
Lewis Hamilton
Lewis Hamilton is a British Formula One racing driver, widely regarded as one of the greatest in the sport’s history, with multiple World Drivers’ Championship titles.
-
C.
Sina Rosberg
Sina Rosberg is the mother of former Formula One World Champion Nico Rosberg.
-
D.
Sebastian Vettel
Sebastian Vettel is a German four-time Formula One World Drivers' Champion known for his dominant Red Bull era and status as one of the most successful drivers in F1 history.
-
E.
Valtteri Bottas
Valtteri Bottas is a Finnish Formula One racing driver known for his multiple Grand Prix victories and seasons driving for top teams such as Mercedes and Alfa Romeo/Sauber.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1859196808190ae30b4f7c1641eed |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb973c88819091fe284420088e7e |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.