Triple
T7507019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jos Wienen |
E177414
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jos Wienen |
E177414
|
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: Jos Wienen | Statement: [Jos Wienen, name, Jos Wienen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jos Wienen Context triple: [Jos Wienen, name, Jos Wienen]
-
A.
Jos Wienen
chosen
Jos Wienen is a Dutch politician who serves as the mayor of the city of Haarlem in the Netherlands.
-
B.
Joost Vos
Joost Vos is a Dutch architect best known as a leading partner at the renowned architecture firm Benthem Crouwel Architekten, contributing to major public and infrastructural projects.
-
C.
Jochem van der Saag
Jochem van der Saag is a Dutch-born music producer, mixer, and engineer known for his work with major pop and adult contemporary artists.
-
D.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
E.
Leo Beenhakker
Leo Beenhakker is a Dutch football manager renowned for coaching top clubs and national teams, including Real Madrid, Ajax, and 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b76a288190bb3608a5e3bfa212 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83ca243288190bb253f4d91701407 |
completed | March 28, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:45 p.m.