Triple
T19697964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard family |
E473012
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Harwood |
—
|
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: Harwood | Statement: [Harvard family, hasNameVariant, Harwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harwood Context triple: [Harvard family, hasNameVariant, Harwood]
-
A.
Harwood
Harwood is a small community located near Rice Lake in Ontario, Canada, known for its lakeside setting and rural character.
-
B.
Harwood
chosen
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
-
C.
Harwood
Harwood is a suburban residential area and community within the Metropolitan Borough of Bolton in Greater Manchester, England.
-
D.
Harwood
Harwood is a small village located in Vernon County in the U.S. state of Missouri.
-
E.
Harwood
Harwood is a small rural locality in New South Wales, Australia, situated on the Clarence River and known for its sugar industry and historic Harwood Bridge.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b2baec81909ee2cd6ead632836 |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.