Triple
T18156673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porsche Supercup |
E434648
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | Jeroen Bleekemolen |
—
|
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: Jeroen Bleekemolen | Statement: [Porsche Supercup, notableAlumni, Jeroen Bleekemolen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeroen Bleekemolen Context triple: [Porsche Supercup, notableAlumni, Jeroen Bleekemolen]
-
A.
Jeroen Bleekemolen
chosen
Jeroen Bleekemolen is a Dutch professional racing driver known for competing in series such as the 24 Hours of Le Mans, DTM, and various GT and endurance championships.
-
B.
Jeroen van der Boom
Jeroen van der Boom is a Dutch singer, television presenter, and entertainer known for his successful music career and prominent roles on Dutch TV talent shows.
-
C.
Tom Heskes
Tom Heskes is a machine learning researcher and professor known for his work in probabilistic modeling, Bayesian methods, and neural networks.
-
D.
Jeroen Brouwers
Jeroen Brouwers was a prominent Dutch writer and essayist known for his stylistically rich novels and critical essays, often exploring memory, war, and the legacy of colonialism.
-
E.
Bart van Merriënboer
Bart van Merriënboer is a machine learning researcher known for his contributions to deep learning and neural sequence models, including work on RNN-based encoder–decoder architectures for machine translation.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debe27a88190bd76c6f78fcf1bd1 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.