Triple

T15763374
Position Surface form Disambiguated ID Type / Status
Subject Donkey Kong universe E382153 entity
Predicate hasAntagonistGroup P17627 FINISHED
Object Snowmads E1135598 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: Snowmads | Statement: [Donkey Kong universe, hasAntagonistGroup, Snowmads]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowmads
Context triple: [Donkey Kong universe, hasAntagonistGroup, Snowmads]
  • A. Snowmads chosen
    Snowmads are a Viking-themed animal invader faction that serves as the main enemy force in Donkey Kong Country: Tropical Freeze.
  • B. Snowgoons
    Snowgoons are a German hip hop production team known for their dark, orchestral boom-bap sound and collaborations with numerous underground rap artists worldwide.
  • C. Snow Wonder
    Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
  • D. Snowdown
    Snowdown is a former coal mining village in the Kent coalfield of southeast England, historically centered around Snowdown Colliery and its mining community.
  • E. The Slopes
    The Slopes is a historic landscaped park in Buxton, Derbyshire, known for its terraced walks, ornamental gardens, and views over the town’s spa architecture.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.