Triple
T2230400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Schuyler Hamilton |
E48750
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hamilton |
E17790
|
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: [Elizabeth Schuyler Hamilton, familyName, Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton Context triple: [Elizabeth Schuyler Hamilton, familyName, Hamilton]
-
A.
Hamilton
Hamilton is a large town in South Lanarkshire, Scotland, historically known as a key administrative and market center in the region.
-
B.
Hamilton
chosen
Hamilton is a masculine given name of English and Scottish origin, used both as a first name and a surname.
-
C.
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.
-
D.
Hamilton
Hamilton is a small city in western Georgia that serves as the administrative and cultural hub of Harris County.
-
E.
Hamilton
Hamilton is a small, affluent town in Essex County, Massachusetts, known for its rural character, historic homes, and proximity to the North Shore.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc069e0ac8190bcda8cba9f5c7a5d |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea85f62e081909f92b1a98b688104 |
completed | March 9, 2026, 11 a.m. |
Created at: March 4, 2026, 7:47 p.m.