Triple
T20570196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunn School |
E505074
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dunn School |
—
|
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: Dunn School | Statement: [Dunn School, name, Dunn School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunn School Context triple: [Dunn School, name, Dunn School]
-
A.
Dunn School
chosen
Dunn School is a private college-preparatory boarding and day school in Los Olivos, California, known for its small classes and emphasis on holistic, experiential education.
-
B.
Downey School
Downey School is a public elementary school serving young students in the town of Westwood, Massachusetts.
-
C.
South School
South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
-
D.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
-
E.
Sheehan School
Sheehan School is a public elementary school serving young students in the town of Westwood, Massachusetts.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a5b0688190b45d0fa993c4765c |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.