Triple

T3649064
Position Surface form Disambiguated ID Type / Status
Subject Super Mario 3D World E77373 entity
Predicate powerUp P29028 FINISHED
Object Super Leaf E311685 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: Super Leaf | Statement: [Super Mario 3D World, powerUp, Super Leaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Super Leaf
Context triple: [Super Mario 3D World, powerUp, Super Leaf]
  • A. Super Leaf chosen
    Super Leaf is a power-up item in the Super Mario series that transforms Mario into Raccoon Mario, granting him a tail attack and limited flight abilities.
  • B. Tuff Seed
    "Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
  • C. Greenleaf
    Greenleaf is a dramatic television series that explores the secrets, scandals, and power struggles within a wealthy African-American megachurch family.
  • D. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • E. Leaf Storm
    Leaf Storm is a novella by Gabriel García Márquez that introduces the fictional town of Macondo and explores themes of solitude, memory, and moral conflict.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38c22548190a271a69fb832a5a8 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3c85348190b1d16179294f7f09 completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.