Triple
T15534386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kremlings |
E370304
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Krusha-type Kremlings |
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: Krusha-type Kremlings | Statement: [Kremlings, hasSubgroup, Krusha-type Kremlings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krusha-type Kremlings Context triple: [Kremlings, hasSubgroup, Krusha-type Kremlings]
-
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.
Mishka
Mishka is a reggae-influenced singer-songwriter known for his mellow, island-inspired sound and collaborations within the jam and surf music scenes.
-
C.
Kroitor
Kroitor is a surname most notably associated with Roman Kroitor, a pioneering Canadian filmmaker and co-founder of IMAX.
-
D.
Pavelets
Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
-
E.
Kruschen
Kruschen is a surname most notably associated with Canadian character actor Jack Kruschen, known for his work in mid-20th-century film, radio, and television.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d605b908190a18c63142c8bb854 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.