Triple

T15069376
Position Surface form Disambiguated ID Type / Status
Subject Princess Daisy E379835 entity
Predicate appearsInFranchise P795 FINISHED
Object Mario series E406903 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: Mario series | Statement: [Princess Daisy, appearsInFranchise, Mario series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario series
Context triple: [Princess Daisy, appearsInFranchise, Mario series]
  • A. Super Mario series chosen
    The Super Mario series is Nintendo’s flagship platform game franchise starring Mario in a wide variety of adventures across imaginative worlds.
  • B. Mario vs. Donkey Kong series
    The Mario vs. Donkey Kong series is a puzzle-platform video game franchise in which Mario navigates intricate, toy-themed levels to outwit Donkey Kong and solve object-based challenges.
  • C. Yoshi series
    The Yoshi series is a platform game franchise by Nintendo that stars the dinosaur Yoshi in colorful, often puzzle-oriented adventures spun off from the Super Mario series.
  • D. Mario
    Mario is a fictional Italian plumber and the iconic protagonist of Nintendo's long-running Super Mario video game franchise.
  • E. Mario
    Mario is an American R&B singer, songwriter, and occasional actor best known for his early-2000s hits like "Let Me Love You."
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cd4b6c8190aa9ff73d5be31864 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.