Triple
T118497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Rutte |
E2394
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Rutte |
E2394
|
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: Mark Rutte | Statement: [Mark Rutte, name, Mark Rutte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Rutte Context triple: [Mark Rutte, name, Mark Rutte]
-
A.
Mark Rutte
chosen
Mark Rutte is a Dutch liberal politician who served for many years as the Netherlands’ longest-tenured prime minister and leader of the People’s Party for Freedom and Democracy (VVD).
-
B.
Femke Halsema
Femke Halsema is a Dutch politician and former leader of the GreenLeft party who serves as the first female mayor of Amsterdam.
-
C.
Herman De Croo
Herman De Croo is a veteran Belgian liberal politician and long-serving member of parliament who has held several ministerial posts and served as President of the Chamber of Representatives.
-
D.
Alexander De Croo
Alexander De Croo is a Belgian liberal politician who has served as Prime Minister of Belgium, leading the federal government.
-
E.
Olaf Scholz
Olaf Scholz is a German politician from the Social Democratic Party (SPD) who has served as Chancellor of Germany since 2021.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a257145e0c81908a00c6c4a17b53f0 |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2917de638819087f7c16d21963c63 |
completed | Feb. 28, 2026, 6:55 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.