Triple

T14941608
Position Surface form Disambiguated ID Type / Status
Subject Donkey Kong Country 2: Diddy's Kong Quest E372543 entity
Predicate developer P73 FINISHED
Object Rare E266293 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: Rare | Statement: [Donkey Kong Country 2: Diddy's Kong Quest, developer, Rare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rare
Context triple: [Donkey Kong Country 2: Diddy's Kong Quest, developer, Rare]
  • A. Rare chosen
    Rare is a renowned British video game developer known for creating influential titles such as Donkey Kong Country, GoldenEye 007, Banjo-Kazooie, and Sea of Thieves.
  • B. Rare
    Rare is Selena Gomez's third studio album, a pop record known for its themes of self-acceptance and emotional resilience.
  • C. Rare Junk
    Rare Junk is an album produced by William E. McEuen, known for its eclectic blend of folk, country, and experimental sounds.
  • D. Special
    "Special" is an R&B/soul song by American singer Dwele, recognized as one of his standout tracks.
  • E. RAR
    RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e929f3881908560b8428e72327d completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.