Triple
T13984543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Bonte |
E336402
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bonte |
E336402
|
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: Bonte | Statement: [Friedrich Bonte, familyName, Bonte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonte Context triple: [Friedrich Bonte, familyName, Bonte]
-
A.
Bonte
chosen
Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
-
B.
De Bolle
De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
-
C.
Stroobos
Stroobos is a small village in the northern Netherlands, situated on the border of Friesland and Groningen and known for its location along important waterways and canals.
-
D.
Berte
Berte is a minor character in Henrik Ibsen’s play "Hedda Gabler," serving as the Tesmans’ maid and highlighting the household’s social dynamics.
-
E.
Beerta
Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea3e5a081908ed8ead108139252 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac942ba481908858d7f214085b5f |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.