Triple
T93127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey Hinton |
E1872
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hinton |
E1872
|
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: Hinton | Statement: [Geoffrey Hinton, familyName, Hinton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinton Context triple: [Geoffrey Hinton, familyName, Hinton]
-
A.
Geoffrey Hinton
chosen
Geoffrey Hinton is a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
-
B.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
C.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
-
D.
Nelson
Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
-
E.
Shannon
Shannon is a common Irish surname that originates from the River Shannon and is borne by numerous notable individuals, including mathematician and information theorist Claude Shannon.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd28e988190bde699647ee5b16b |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26245bf748190828d5cb4624b2a79 |
completed | Feb. 28, 2026, 3:34 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.