Triple
T12330485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelius |
E293947
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Kees |
E454739
|
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: Kees | Statement: [Cornelius, hasVariant, Kees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kees Context triple: [Cornelius, hasVariant, Kees]
-
A.
Kees
Kees is the familiar nickname of Kees van Dongen, a prominent Dutch-French Fauvist painter known for his vibrant colors and expressive portraits.
-
B.
Kee
Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
-
C.
Cees
chosen
Cees is a common Dutch given name, typically used as a short form of Cornelis.
-
D.
Koewacht
Koewacht is a village in the Dutch province of Zeeland, situated near the Belgian border and administratively part of the municipality of Terneuzen.
-
E.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e9114f48190988b84eaec2e810f |
completed | May 2, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:53 p.m.