Triple
T14369878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarten Baas |
E356331
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maarten Baas |
E356331
|
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: Maarten Baas | Statement: [Maarten Baas, name, Maarten Baas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maarten Baas Context triple: [Maarten Baas, name, Maarten Baas]
-
A.
Maarten Baas
chosen
Maarten Baas is a Dutch designer and artist renowned for his conceptual, often playful furniture and installations that blur the boundaries between art and design.
-
B.
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.
-
C.
Dennis van Aarssen
Dennis van Aarssen is a Dutch jazz and pop singer who gained national fame after winning the talent show The Voice of Holland.
-
D.
Bart de Smit
Bart de Smit is a Dutch mathematician known for his work in number theory and algebraic geometry.
-
E.
Sander van Doorn
Sander van Doorn is a Dutch DJ and electronic music producer known for his influential work in trance and progressive house.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb0b8988190ab834a85911c015c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a254f881908d9494d4602064ae |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:15 a.m.