Triple
T1191278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert Bos |
E25365
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bert Bos |
E25365
|
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: Bert Bos | Statement: [Bert Bos, name, Bert Bos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Bos Context triple: [Bert Bos, name, Bert Bos]
-
A.
Bert Bos
chosen
Bert Bos is a Dutch computer scientist best known as a co-creator and long-time editor of the CSS (Cascading Style Sheets) web standard.
-
B.
Bert Koenders
Bert Koenders is a Dutch Labour Party politician and diplomat who served as the Netherlands’ Minister of Foreign Affairs and previously held roles including Minister for Development Cooperation and UN Special Representative.
-
C.
Hubert Bruls
Hubert Bruls is a Dutch politician best known as the long-serving mayor of Nijmegen and a prominent figure in national public safety and crisis management.
-
D.
Jan van der Linden
Jan van der Linden was an architect known for his role in designing Los Angeles’ historic Union Station.
-
E.
Andries van Dam
Andries van Dam is a pioneering computer scientist best known for his foundational work in computer graphics and hypertext systems, and for co-authoring one of the earliest and most influential computer graphics textbooks.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd74e2c08190b4a48425f94addaa |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac764ea588819082f7d5d0e44e1211 |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:45 p.m.