Triple
T5443845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Gottfried Galle |
E122199
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Johann |
E27352
|
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: Johann | Statement: [Johann Gottfried Galle, givenName, Johann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johann Context triple: [Johann Gottfried Galle, givenName, Johann]
-
A.
Johann
chosen
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
-
B.
Johannes
Johannes is the given first name of the German nuclear physicist Hans D. Jensen, a Nobel Prize laureate in Physics.
-
C.
Johannes
Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
-
D.
Christoph
Christoph is the given name of Christoph Willibald Gluck, the influential 18th-century composer known for reforming opera.
-
E.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ccdd648190940c04781c4222ec |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4881d6308190a4e7cb784eb520c9 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:07 p.m.