Triple
T6549391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willem Drees |
E151091
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Drees |
E151091
|
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: Drees | Statement: [Willem Drees, familyName, Drees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drees Context triple: [Willem Drees, familyName, Drees]
-
A.
Drees
chosen
Drees is a Dutch surname most notably associated with Willem Drees, a prominent 20th-century Dutch prime minister.
-
B.
Drelnes
Drelnes is a small coastal settlement on the Faroe Islands' southern island of Suðuroy, known primarily for its ferry connection and maritime access.
-
C.
DRES
DRES is a university-based program that provides support services and accommodations to students with disabilities to ensure equal access to education.
-
D.
Drios
Drios is a coastal village on the Greek island of Paros, known for its traditional Cycladic character and proximity to popular beaches.
-
E.
Durst
Durst is a surname most prominently associated with the New York real estate–developing Durst family, including figures such as Joseph Durst and his descendants.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae037c488190b9441f9a9e7a69b6 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55113408190b96baf2747f36e3c |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:51 p.m.