Triple
T1151369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multatuli |
E23684
|
entity |
| Predicate | realName |
P9233
|
FINISHED |
| Object | Eduard Douwes Dekker |
E23684
|
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: Eduard Douwes Dekker | Statement: [Multatuli, realName, Eduard Douwes Dekker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eduard Douwes Dekker Context triple: [Multatuli, realName, Eduard Douwes Dekker]
-
A.
Multatuli
chosen
Multatuli was the pen name of Eduard Douwes Dekker, a 19th-century Dutch writer best known for his influential anti-colonial novel "Max Havelaar," which criticized Dutch rule in the Dutch East Indies.
-
B.
H. A. Maaskant
H. A. Maaskant was a prominent Dutch architect and structural engineer known for his large-scale postwar modernist designs.
-
C.
Herman Saftleven
Herman Saftleven was a 17th-century Dutch painter and draughtsman known for his detailed river landscapes and topographical views.
-
D.
Martinus Veltman
Martinus Veltman was a Dutch theoretical physicist and Nobel laureate renowned for his work on the renormalization of gauge theories in particle physics.
-
E.
Bep Voskuijl
Bep Voskuijl was a Dutch office worker who helped hide Anne Frank and her family during World War II by providing food, supplies, and support to those in the Secret Annex.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc744e7c81908f8612f2aad28600 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667a61248190b71033daadef58e3 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:44 p.m.