Triple
T16451447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wim Kok |
E399559
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kok |
E399559
|
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: Kok | Statement: [Wim Kok, familyName, Kok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kok Context triple: [Wim Kok, familyName, Kok]
-
A.
Kok
chosen
Kok is a Dutch surname most notably borne by Wim Kok, a former Prime Minister of the Netherlands.
-
B.
Kokona
Kokona is a local government area in Nasarawa State, Nigeria, serving as an administrative subdivision of the state.
-
C.
Ko
Ko is a Japanese given-name element commonly used in female names, often carrying meanings like “child” depending on the kanji used.
-
D.
Koki
Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
-
E.
Kokane
Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce06de0819086eea241c6b32223 |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045979c588190b6f7b249147f3174 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.