Triple
T10524566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Church Hamilton |
E248264
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hamilton |
E477391
|
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: Hamilton | Statement: [John Church Hamilton, familyName, Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton Context triple: [John Church Hamilton, familyName, Hamilton]
-
A.
Hamilton
Hamilton is a major industrial port city in Ontario, Canada, known for its steel production and location on the western tip of Lake Ontario.
-
B.
Hamilton
Hamilton is a small city in western Georgia that serves as the administrative and cultural hub of Harris County.
-
C.
Hamilton
chosen
Hamilton is a common English and Scottish surname borne by numerous notable figures in politics, the arts, sports, and other fields.
-
D.
Hamilton
Hamilton is a character from the 1935 British film "Sanders of the River," which portrays colonial-era adventures in Nigeria.
-
E.
Hamilton
Hamilton is a named corner on the Snetterton motor racing circuit in Norfolk, England, commonly featured in car and motorcycle racing events.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4020c8190b78c49da086df757 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e1c73208190aa3d3e30aa4482ac |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:29 p.m.