Triple
T13502970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-AMG F1 W07 Hybrid |
E320938
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Geoff Willis |
E1047815
|
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: Geoff Willis | Statement: [Mercedes-AMG F1 W07 Hybrid, designer, Geoff Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Willis Context triple: [Mercedes-AMG F1 W07 Hybrid, designer, Geoff Willis]
-
A.
Geoff Willis
chosen
Geoff Willis is a prominent Formula One engineer known for his aerodynamic and technical leadership roles at several top teams, including Mercedes.
-
B.
Geoff Smith
Geoff Smith is an Australian Anglican bishop who serves as the Archbishop of Adelaide and a senior leader within the Anglican Church of Australia.
-
C.
Geoff Smith
Geoff Smith is an internet entrepreneur best known for co-founding the social discovery and recommendation platform StumbleUpon.
-
D.
Geoff Bent
Geoff Bent was an English footballer who played as a full-back for Manchester United and was one of the Busby Babes who died in the 1958 Munich air disaster.
-
E.
Michael Wetherall
Michael Wetherall is a central character in John Stephens' fantasy series "The Books of Beginning," playing a key role in the magical adventures that drive the story.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8239c481909faf5a9c403b55f2 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:43 p.m.