Triple
T23082330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frits Thaulow |
E575508
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Frits |
—
|
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: Frits | Statement: [Frits Thaulow, givenName, Frits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frits Context triple: [Frits Thaulow, givenName, Frits]
-
A.
Frits
chosen
Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
-
B.
Goudriaan
Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
-
C.
Frieder
Frieder is a surname most notably associated with Bill Frieder, an American college basketball coach who led successful programs at the University of Michigan and Arizona State University.
-
D.
Marius de Vries
Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
-
E.
Diederik
Diederik is a masculine given name of Dutch origin, notably borne by Dutch politician Diederik Samsom.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da239e48190ad041261c6b510a0 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:56 p.m.