Triple
T1336572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godert van der Capellen |
E28763
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Godert |
E120523
|
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: Godert | Statement: [Godert van der Capellen, givenName, Godert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Godert Context triple: [Godert van der Capellen, givenName, Godert]
-
A.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
B.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
C.
Kampen
Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
-
D.
Guer
Guer is a commune in the Morbihan department of Brittany in northwestern France, known for hosting France’s premier military academy, the École spéciale militaire de Saint-Cyr.
-
E.
Godert de Ginkell
chosen
Godert de Ginkell was a Dutch general in English service best known for leading William III’s forces to decisive victory over the Jacobites in Ireland in the late 17th century.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1edda1c81909a1149b254b0d57e |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62b9bd081909dbe22cbea03f21f |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:55 p.m.