Triple
T15534387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kremlings |
E370304
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Klump-type Kremlings
Klump-type Kremlings are a bulky, helmeted variety of Kremling enemies in the Donkey Kong series, typically characterized by their heavy armor and resilience to certain attacks.
|
E1164015
|
NE FINISHED |
How this triple was built (4 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: Klump-type Kremlings | Statement: [Kremlings, hasSubgroup, Klump-type Kremlings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klump-type Kremlings Context triple: [Kremlings, hasSubgroup, Klump-type Kremlings]
-
A.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
B.
Kroitor
Kroitor is a surname most notably associated with Roman Kroitor, a pioneering Canadian filmmaker and co-founder of IMAX.
-
C.
Pavelets
Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
-
D.
Pogo
Pogo is a highly intelligent, anthropomorphic chimpanzee who serves as a loyal assistant and father figure to the Hargreeves siblings in *The Umbrella Academy* series.
-
E.
Koopie Koo
Koopie Koo is a minor character in the Paper Mario series, known as Koops' affectionate and supportive Koopa girlfriend from his hometown.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Klump-type Kremlings Triple: [Kremlings, hasSubgroup, Klump-type Kremlings]
Generated description
Klump-type Kremlings are a bulky, helmeted variety of Kremling enemies in the Donkey Kong series, typically characterized by their heavy armor and resilience to certain attacks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klump-type Kremlings Target entity description: Klump-type Kremlings are a bulky, helmeted variety of Kremling enemies in the Donkey Kong series, typically characterized by their heavy armor and resilience to certain attacks.
-
A.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
B.
Kroitor
Kroitor is a surname most notably associated with Roman Kroitor, a pioneering Canadian filmmaker and co-founder of IMAX.
-
C.
Pavelets
Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
-
D.
Pogo
Pogo is a highly intelligent, anthropomorphic chimpanzee who serves as a loyal assistant and father figure to the Hargreeves siblings in *The Umbrella Academy* series.
-
E.
Koopie Koo
Koopie Koo is a minor character in the Paper Mario series, known as Koops' affectionate and supportive Koopa girlfriend from his hometown.
- F. None of above. chosen
Provenance (5 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_69ff45549e4881908ab0769e49ba5dc4 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff470492f48190852ede832157ed10 |
completed | May 9, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff47e5647c81909b785a1212c4bc50 |
completed | May 9, 2026, 2:42 p.m. |
Created at: April 10, 2026, 4:06 a.m.