Triple
T15860310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schmidt orthogonalization |
E384564
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Erhard Schmidt |
—
|
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: Erhard Schmidt | Statement: [Schmidt orthogonalization, namedAfter, Erhard Schmidt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erhard Schmidt Context triple: [Schmidt orthogonalization, namedAfter, Erhard Schmidt]
-
A.
Erhard Schmidt
chosen
Erhard Schmidt was a German mathematician known for his foundational work in functional analysis and the theory of Hilbert spaces.
-
B.
Gerhard Schmidt
Gerhard Schmidt is a personal name shared by multiple notable individuals, including figures in fields such as science, politics, and the arts.
-
C.
Werner Schmidt
Werner Schmidt is a relatively common German personal name shared by multiple individuals across various professions, rather than a single widely recognized public figure.
-
D.
Heinrich Schmidt
Heinrich Schmidt is a relatively common German personal name shared by multiple individuals across various professions and historical periods.
-
E.
Wilhelm Schäfer
Wilhelm Schäfer is a prominent computer scientist known for his influential contributions to software engineering research.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555a1f008190bb3f03b0f35ed8a4 |
completed | April 16, 2026, 9:32 p.m. |
Created at: April 10, 2026, 4:50 a.m.