Triple
T21071213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M59 |
E519110
|
entity |
| Predicate | discoverer |
P412
|
FINISHED |
| Object | Johann Gottfried Koehler |
—
|
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: Johann Gottfried Koehler | Statement: [M59, discoverer, Johann Gottfried Koehler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johann Gottfried Koehler Context triple: [M59, discoverer, Johann Gottfried Koehler]
-
A.
Johann Gottfried Koehler
chosen
Johann Gottfried Koehler was an 18th-century German astronomer known for his observations and discoveries of deep-sky objects.
-
B.
Friedrich Kühn
Friedrich Kühn was a German Wehrmacht general and armored warfare commander during World War II.
-
C.
Johann Carl J. von Griesbach
Johann Carl J. von Griesbach was an influential German biblical scholar and textual critic known for pioneering the modern critical study and classification of New Testament manuscripts.
-
D.
Friedrich Krafft
Friedrich Krafft was a German chemist known for his work in organic chemistry and for the Krafft point concept related to the solubility of surfactants.
-
E.
Johann Jakob Heckel
Johann Jakob Heckel was a 19th-century Austrian ichthyologist known for his extensive work on the classification and description of freshwater fishes.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb8ed4481909c9f804ccd8da3e2 |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:46 p.m.