Triple
T22394202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sari van Veenendaal |
E553586
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sari van Veenendaal |
—
|
NE NERFINISHED |
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: Sari van Veenendaal | Statement: [Sari van Veenendaal, name, Sari van Veenendaal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sari van Veenendaal Context triple: [Sari van Veenendaal, name, Sari van Veenendaal]
-
A.
Sari van Veenendaal
chosen
Sari van Veenendaal is a Dutch professional football goalkeeper renowned for her performances with the Netherlands women’s national team and top European clubs.
-
B.
Lida Scholten
Lida Scholten is a Dutch art patron and co-founder of the Museum Beelden aan Zee in The Hague, known for her support of modern and contemporary sculpture.
-
C.
Thea Van Seijen
Thea Van Seijen is a Dutch singer best known for her vocal work on several of trip-hop artist Tricky’s albums.
-
D.
Karien van Gennip
Karien van Gennip is a Dutch politician and former government minister who has held various cabinet posts in the Netherlands.
-
E.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585dac3c8190bc221f35b3eefa3f |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.