Triple

T16813622
Position Surface form Disambiguated ID Type / Status
Subject Takayoshi E408680 entity
Predicate nameComponent P5298 FINISHED
Object yoshi E76860 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: yoshi | Statement: [Takayoshi, nameComponent, yoshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: yoshi
Context triple: [Takayoshi, nameComponent, yoshi]
  • A. Yoshi chosen
    Yoshi is a friendly, dinosaur-like character from Nintendo’s Mario franchise, known for his long tongue, egg-throwing abilities, and frequent role as Mario’s companion and steed.
  • B. Yoshisuke
    Yoshisuke is a Japanese given name most notably borne by industrialist Yoshisuke Aikawa, founder of the Nissan zaibatsu.
  • C. Yoshihiro
    Yoshihiro is the Japanese given name of the political scientist and author Francis Fukuyama.
  • D. Yoshi Egg
    The Yoshi Egg is a distinctive white egg with green spots from the Mario video game series, commonly associated with hatching or summoning the dinosaur-like character Yoshi.
  • E. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e01fb8819081cf2c08f29448da completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.