Triple
T19992509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emil Kraepelin |
E494098
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kraepelin |
—
|
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: Kraepelin | Statement: [Emil Kraepelin, familyName, Kraepelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraepelin Context triple: [Emil Kraepelin, familyName, Kraepelin]
-
A.
Emil Kraepelin
chosen
Emil Kraepelin was a pioneering German psychiatrist whose systematic classification of mental disorders laid the foundation for modern psychiatric diagnosis.
-
B.
Eugen Bleuler
Eugen Bleuler was a Swiss psychiatrist best known for coining the term "schizophrenia" and significantly advancing the understanding of psychotic disorders.
-
C.
Jellinek
Jellinek is a surname most notably associated with Mercedes Jellinek, the namesake and inspiration for the Mercedes automobile brand.
-
D.
Johann Christian Daniel von Schreber
Johann Christian Daniel von Schreber was an 18th-century German naturalist and zoologist known for his influential work on the classification and description of mammals.
-
E.
Dr. Daniel Schreber
Dr. Daniel Schreber is a mysterious, morally conflicted scientist in the neo-noir science fiction film "Dark City," who aids the protagonist in uncovering the truth behind a reality manipulated by alien beings.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.