Triple

T11940412
Position Surface form Disambiguated ID Type / Status
Subject Yen Sid E284158 entity
Predicate mentorOf P7251 FINISHED
Object Riku E947810 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: Riku | Statement: [Yen Sid, mentorOf, Riku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riku
Context triple: [Yen Sid, mentorOf, Riku]
  • A. Riku chosen
    Riku is a central protagonist in the Kingdom Hearts video game series, known for his struggle with darkness and close friendship with Sora.
  • B. Sora
    Sora is the cheerful, keyblade-wielding protagonist of the Kingdom Hearts video game series, known for traveling across Disney and Square Enix-inspired worlds to battle darkness and protect his friends.
  • C. Sora
    Sora is a historic town and comune in the Lazio region of central Italy, situated along the Liri River and known for its medieval architecture and scenic surroundings.
  • D. Roxas
    Roxas is a Filipino surname most prominently associated with Manuel Roxas, the fifth President of the Philippines and the first leader of the independent Third Republic.
  • E. Roxas
    Roxas is a coastal municipality in the Philippine province of Palawan known for its fishing industry and access to nearby island and marine attractions.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903415d2481909d84e6727454b9fe completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f63ac68c819090a0361a16e8452d completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:45 p.m.