Triple
T2301350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 622 |
E51738
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Jelle Zijlstra |
E192132
|
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: Jelle Zijlstra | Statement: [PEP 622, author, Jelle Zijlstra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jelle Zijlstra Context triple: [PEP 622, author, Jelle Zijlstra]
-
A.
Jelle Zijlstra
chosen
Jelle Zijlstra was a Dutch economist and politician who served as Prime Minister of the Netherlands and later as president of the Dutch central bank.
-
B.
Tim Kruithoff
Tim Kruithoff is a German local politician who serves as the mayor of the city of Emden in Lower Saxony.
-
C.
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.
-
D.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
E.
Andreas Schelfhout
Andreas Schelfhout was a prominent 19th-century Dutch landscape painter and influential teacher associated with the Romantic movement in the Netherlands.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5ef51948190ae828d8ee02feb75 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f31356c81909c563d88d472e05f |
completed | March 9, 2026, 8:05 a.m. |
Created at: March 4, 2026, 7:49 p.m.