Triple
T4317571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Jambon |
E96429
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jan Jambon |
E96429
|
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: Jan Jambon | Statement: [Jan Jambon, name, Jan Jambon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Jambon Context triple: [Jan Jambon, name, Jan Jambon]
-
A.
Jan Jambon
chosen
Jan Jambon is a Belgian nationalist politician from Flanders who has served as Minister-President of Flanders and is a prominent leader within the New Flemish Alliance (N-VA).
-
B.
Louiguy
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
-
C.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
D.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
-
E.
Jules Schelvis
Jules Schelvis was a Dutch Jewish Holocaust survivor, historian, and author who became a leading expert and witness on the Sobibor extermination camp.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f733888190866611fcdea97a5f |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d085f78481909bb6dd55bf06d9d6 |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:12 p.m.