Triple
T7235894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirk Fock |
E155225
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dirk Fock |
E155225
|
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: Dirk Fock | Statement: [Dirk Fock, name, Dirk Fock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirk Fock Context triple: [Dirk Fock, name, Dirk Fock]
-
A.
Dirk Fock
chosen
Dirk Fock was a Dutch liberal politician and colonial administrator who notably served as Governor-General of the Dutch East Indies in the early 20th century.
-
B.
Conrad Falkenberg
Conrad Falkenberg was a medieval Swedish statesman who served as the kingdom’s highest legal and political official during his tenure as Lord High Chancellor.
-
C.
Hans Lufft
Hans Lufft was a 16th-century German printer best known for producing and widely disseminating early editions of Martin Luther’s German Bible.
-
D.
Dirk Wilutzky
Dirk Wilutzky is a German film producer and director best known for his work on the Academy Award–winning documentary "Citizenfour."
-
E.
Johann Dill
Johann Dill is an Austrian local politician who serves as the mayor of the Lower Austrian town of Kirchstetten.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea33dd3481908ebb050e1fab5aaa |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc32d6c48190ae78b3d1227bb868 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.