Triple

T20217779
Position Surface form Disambiguated ID Type / Status
Subject Mario Kart 7 E495172 entity
Predicate includesCharacter P5716 FINISHED
Object Rosalina NE NERFINISHED

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: Rosalina | Statement: [Mario Kart 7, includesCharacter, Rosalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosalina
Context triple: [Mario Kart 7, includesCharacter, Rosalina]
  • A. Rosalina chosen
    Rosalina is a celestial princess and guardian of the cosmos in Nintendo's Super Mario series, known for caring for the star-like Lumas and piloting the Comet Observatory.
  • B. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Roseline
    Roseline is a given name that serves as a variant form of the name Rosslyn.
  • E. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edaeeb08190bb74bd4a10aceca2 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:39 p.m.