Triple
T9500701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AlphaGo Zero |
E229130
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | Sander Dieleman |
E222172
|
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: Sander Dieleman | Statement: [AlphaGo Zero, hasAuthor, Sander Dieleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sander Dieleman Context triple: [AlphaGo Zero, hasAuthor, Sander Dieleman]
-
A.
Sander Dieleman
chosen
Sander Dieleman is a machine learning researcher known for his influential work in deep learning for audio and music, including contributions to models such as WaveNet.
-
B.
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.
-
C.
Sven Groeneveld
Sven Groeneveld is a Dutch professional tennis coach known for working with numerous top-ranked players on the WTA and ATP tours.
-
D.
Roel van Velzen
Roel van Velzen is a Dutch singer-songwriter, musician, and television personality best known as the frontman of the pop-rock band VanVelzen and as a coach on The Voice of Holland.
-
E.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983c308c8190bde6858ac1ca8ea5 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1820ed0c88190a91652965077755a |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:57 p.m.