Triple
T10869616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justus Jonas |
E256616
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Jobst Jona |
E457504
|
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: Jobst Jona | Statement: [Justus Jonas, birthName, Jobst Jona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jobst Jona Context triple: [Justus Jonas, birthName, Jobst Jona]
-
A.
Johan Evertsen
Johan Evertsen was a prominent 17th-century Dutch admiral who played a key role in the naval conflicts of the Dutch Republic, including the Anglo-Dutch Wars.
-
B.
Jozias
Jozias is a Dutch politician best known for serving as Minister of Foreign Affairs and later as Mayor of The Hague.
-
C.
Johann Jaun
Johann Jaun was a 19th-century Swiss mountain guide and alpinist known for making the first ascent of several major Alpine peaks.
-
D.
Jodocus
chosen
Jodocus is a masculine given name of Latin origin historically borne by figures such as the Flemish cartographer Jodocus Hondius.
-
E.
Johannes Kleiman
Johannes Kleiman was a Dutch office manager and resistance helper who assisted in hiding Anne Frank and her family during the Nazi occupation of the Netherlands.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75170665881909944f92c2cdbe7e6 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d9ce3c8190afeb2a27fb82b594 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.