Triple
T1415495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonkheer Andries Cornelis Dirk de Graeff |
E31904
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cornelis |
E103491
|
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: Cornelis | Statement: [Jonkheer Andries Cornelis Dirk de Graeff, givenName, Cornelis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornelis Context triple: [Jonkheer Andries Cornelis Dirk de Graeff, givenName, Cornelis]
-
A.
Cornelis
chosen
Cornelis is a Dutch given name historically borne by notable figures such as statesman Cornelis de Witt.
-
B.
Cornelis de Vos
Cornelis de Vos was a prominent Flemish Baroque painter known for his refined portraits and religious scenes in early 17th-century Antwerp.
-
C.
Nicolaes
Nicolaes is a Dutch given name historically borne by several notable figures, including 17th-century painters and civic leaders of the Dutch Golden Age.
-
D.
Dirck van Bleyswijck
Dirck van Bleyswijck was a 17th-century Dutch writer and city official from Delft, best known for his detailed topographical and historical description of the city.
-
E.
Dirck van Delen
Dirck van Delen was a Dutch Golden Age painter renowned for his meticulously rendered architectural and church interior scenes.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c402b1648190b87802d9beb2712e |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02f8483c8190a72c79f5b60eb927 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 1, 2026, 7:59 p.m.