Triple
T12415056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinton, West Virginia |
E296613
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Hinton |
E336197
|
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: [Hinton, West Virginia, hasName, Hinton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinton Context triple: [Hinton, West Virginia, hasName, Hinton]
-
A.
Hinton
Hinton is the surname of Geoffrey Hinton, a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
-
B.
Hinton
chosen
Hinton is a small city in southern West Virginia known for its historic downtown and scenic location along the New River.
-
C.
Hinton
Hinton is a small city in northwestern Iowa, United States, located in Plymouth County.
-
D.
Vinton
Vinton is the given name of Vinton Cerf, an American computer scientist widely recognized as one of the "fathers of the Internet."
-
E.
Vinton
Vinton is a small village in western Texas, located near the city of El Paso and the U.S.–Mexico border.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6c4f6c8190bc99d3f7b64205c3 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634915940819092665f1f35aa823d |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.