Triple
T22899484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfrid Noyce |
E568268
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Noyce |
—
|
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: Noyce | Statement: [Wilfrid Noyce, familyName, Noyce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noyce Context triple: [Wilfrid Noyce, familyName, Noyce]
-
A.
Noyce
chosen
Noyce is a surname most notably associated with individuals such as Australian film director Phillip Noyce and American engineer and Intel co-founder Robert Noyce.
-
B.
Markkula
Markkula is a Finnish surname most notably associated with Mike Markkula, an early investor and executive at Apple Inc.
-
C.
Wilfrid Noyce
Wilfrid Noyce was a British mountaineer, schoolmaster, and author renowned for his high-altitude climbing and key support role in the successful 1953 Everest expedition.
-
D.
Thiel
Thiel is the surname of Peter Thiel, the German-American billionaire entrepreneur, venture capitalist, and co-founder of PayPal and Palantir Technologies.
-
E.
Norvell
Norvell is a surname most prominently associated with American football coach Mike Norvell.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180155b1c8190a83eb6ec45387a1a |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.