Triple
T1561481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Texel (1673) |
E33332
|
entity |
| Predicate | hasCommanderForSide |
P14510
|
FINISHED |
| Object | Michiel de Ruyter – Dutch Republic |
E18142
|
NE FINISHED |
How this triple was built (3 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: Michiel de Ruyter – Dutch Republic | Statement: [Battle of Texel (1673), hasCommanderForSide, Michiel de Ruyter – Dutch Republic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michiel de Ruyter – Dutch Republic Context triple: [Battle of Texel (1673), hasCommanderForSide, Michiel de Ruyter – Dutch Republic]
-
A.
Michiel de Ruyter
chosen
Michiel de Ruyter was a famed 17th-century Dutch admiral renowned for his naval victories against England and France and for being one of the greatest commanders in Dutch maritime history.
-
B.
Engel de Ruyter
Engel de Ruyter was a 17th-century Dutch naval officer and the son of famed admiral Michiel de Ruyter.
-
C.
Admiral Cornelis Tromp
Admiral Cornelis Tromp was a prominent 17th-century Dutch naval commander renowned for his role in the Anglo-Dutch and Franco-Dutch wars and for being one of the most celebrated admirals in Dutch maritime history.
-
D.
De Ruyter
De Ruyter was the original publishing house that brought out Multatuli’s influential 19th-century Dutch novel "Max Havelaar."
-
E.
Margaretha de Ruyter
Margaretha de Ruyter was a Dutch woman of the 17th century best known as a daughter of the famed admiral Michiel de Ruyter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommanderForSide Context triple: [Battle of Texel (1673), hasCommanderForSide, Michiel de Ruyter – Dutch Republic]
-
A.
hasCommander
Indicates that one entity serves as the commanding officer or leader of another entity.
-
B.
commandedBySide
Indicates that an action, unit, or operation is under the authority or control of a specified side or faction.
-
C.
commandersSide
Indicates that one entity is on the same side, faction, or team as the commander in a conflict or competitive context.
-
D.
commanderForDefender
chosen
Indicates that an entity serves as the commanding officer or leader responsible for directing and overseeing a defending force or defender.
-
E.
notCommanderOf
Indicates that a given entity does not hold a commanding or leadership role over another specified entity.
- F. None of above.
Provenance (4 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401e12088190b6f0f5b0d8a423cf |
completed | March 8, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.