Triple
T16467943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King K. Rool |
E399982
|
entity |
| Predicate | species |
P87
|
FINISHED |
| Object | Kremling |
E370304
|
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: Kremling | Statement: [King K. Rool, species, Kremling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kremling Context triple: [King K. Rool, species, Kremling]
-
A.
Kremlings
chosen
Kremlings are a recurring race of crocodilian villains in the Donkey Kong video game series, often serving as the primary antagonists led by King K. Rool.
-
B.
Vladimir Putin
Vladimir Putin is the long-serving Russian leader and former KGB officer who has played a central and often controversial role in post-Soviet Russian politics and global affairs.
-
C.
Krasnoselsky
Krasnoselsky is the former name of what is now known as Sokolniki station in the Moscow Metro system.
-
D.
Godunov
Godunov is a Russian surname most famously associated with Boris Godunov, the tsar who ruled Russia at the turn of the 17th century.
-
E.
Gus-Khrustalny
Gus-Khrustalny is a town in western Russia known for its historic glass-making industry and status as a local industrial center.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcd707081908fb7ca91a8c09e0a |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5914dc81908c3b8cf999ee76a1 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.