Triple
T12295045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Brown |
E293061
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Alva Academy |
E486176
|
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: Alva Academy | Statement: [Keith Brown, educatedAt, Alva Academy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alva Academy Context triple: [Keith Brown, educatedAt, Alva Academy]
-
A.
Alva Academy
chosen
Alva Academy is a secondary school located in the town of Alva in Clackmannanshire, Scotland.
-
B.
Alderwood School
Alderwood School is a coeducational secondary school serving the town of Aldershot in Hampshire, England.
-
C.
Arden Academy
Arden Academy is a secondary school and sixth form serving students in the Solihull area of England.
-
D.
Alva Primary School
Alva Primary School is a local primary education institution serving young children in the town of Alva, Scotland.
-
E.
Sanderson Academy
Sanderson Academy was a local school in Buckland, Massachusetts, known for educating Mary Lyon before she founded Mount Holyoke Female Seminary and became a pioneer in women’s higher education.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93ed7251c8190b94d7cd75ad49b9c |
completed | April 10, 2026, 6:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e79bf548190bf7f314222ed1ed1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.