Triple

T7187352
Position Surface form Disambiguated ID Type / Status
Subject Mario Party E167604 entity
Predicate hasCharacter P2308 FINISHED
Object Princess Daisy E379835 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: Princess Daisy | Statement: [Mario Party, hasCharacter, Princess Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Daisy
Context triple: [Mario Party, hasCharacter, Princess Daisy]
  • A. Princess Daisy chosen
    Princess Daisy is a spirited, athletic princess from the Mario video game series, best known as the ruler of Sarasaland and a recurring playable character in various Mario spin-off titles.
  • B. Princess Peach
    Princess Peach is a beloved Nintendo video game character, the ruler of the Mushroom Kingdom and frequent damsel-turned-heroine in the Super Mario series.
  • C. Princess Zelda
    Princess Zelda is a central character in Nintendo’s The Legend of Zelda video game series, typically portrayed as the wise and powerful princess of Hyrule who aids the hero Link in protecting the realm from evil.
  • D. Tiana
    Tiana is a Disney Princess known for her hardworking, ambitious nature and role as the first African-American princess in Disney’s animated film "The Princess and the Frog."
  • E. Tiana
    Tiana is a small municipality in Catalonia, Spain, located near the coastal city of Barcelona.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e2506881909fc4e81b9b79e873 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf903f1c819098de137c8c43ca34 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:50 p.m.