Triple
T16260837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf Racing |
E394749
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Walter Wolf |
—
|
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: Walter Wolf | Statement: [Wolf Racing, owner, Walter Wolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Wolf Context triple: [Wolf Racing, owner, Walter Wolf]
-
A.
Walter Wolf
chosen
Walter Wolf is a Slovenian-Canadian businessman best known for his involvement in Formula One through the Wolf Racing team and for his ventures in the oil and tobacco industries.
-
B.
Walter Fuchs
Walter Fuchs is a notable individual who shares the surname Fuchs, recognized enough to be specifically cited among its bearers.
-
C.
Walter Willinger
Walter Willinger is a prominent computer scientist known for his influential work in Internet traffic modeling, network measurement, and the application of fractal and self-similar processes to communication networks.
-
D.
Hans Wiegel
Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
-
E.
Walter Wottitz
Walter Wottitz was a French cinematographer best known for his Academy Award-winning work on the World War II epic film "The Longest Day."
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3e5388190942b0237ab5d1f0f |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 10, 2026, 5:04 a.m.