Triple
T18549666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piet Swieter |
E453337
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Piet |
—
|
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: Piet | Statement: [Piet Swieter, givenName, Piet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piet Context triple: [Piet Swieter, givenName, Piet]
-
A.
Piet
chosen
Piet is a masculine given name of Dutch origin, commonly used in the Netherlands and Belgium.
-
B.
Pieter
Pieter is the given first name of the influential Afrikaans poet, playwright, and essayist N. P. van Wyk Louw.
-
C.
Kees van Dongen
Kees van Dongen was a Dutch-French painter known for his bold use of color, expressive portraits, and prominent role in the early 20th-century avant-garde.
-
D.
Pieter Bout
Pieter Bout was a Flemish Baroque painter and draughtsman known for his lively landscapes, cityscapes, and genre scenes produced in the late 17th century.
-
E.
Frans Post
Frans Post was a 17th-century Dutch painter best known for being one of the first European artists to depict Brazilian landscapes during the Dutch colonial period in South America.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534beeb408190a03f6d7c3f2ef389 |
completed | April 19, 2026, 8:02 p.m. |
Created at: April 10, 2026, 11:38 a.m.