Triple
T10615508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Dunn |
E276107
|
entity |
| Predicate | hasNotableStudent |
P4838
|
FINISHED |
| Object | Harold von Schmidt |
E562375
|
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: Harold von Schmidt | Statement: [Harvey Dunn, hasNotableStudent, Harold von Schmidt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harold von Schmidt Context triple: [Harvey Dunn, hasNotableStudent, Harold von Schmidt]
-
A.
Harold von Schmidt
chosen
Harold von Schmidt was an American illustrator best known for his evocative magazine and book illustrations, particularly in the Western genre.
-
B.
Robert von Hagge
Robert von Hagge was a prominent American golf course architect known for designing numerous acclaimed and visually dramatic courses around the world.
-
C.
Hans Schmidt
Hans Schmidt is a common German personal name shared by numerous individuals across fields such as sports, politics, and the arts.
-
D.
Erich Schiffmann
Erich Schiffmann is an American yoga master and author known for his influential teachings on intuitive, meditative yoga practice.
-
E.
Hermann Hager
Hermann Hager was a German pharmacist and pharmaceutical chemist known for his influential reference works and contributions to pharmaceutical practice in the 19th century.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6d76dc8190bd8d481fed3225d9 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cbacad608190adddd91f13e4113b |
completed | April 19, 2026, 12:33 p.m. |
Created at: April 8, 2026, 7:33 p.m.