Triple

T13109840
Position Surface form Disambiguated ID Type / Status
Subject Ninji E310939 entity
Predicate hasVariant P455 FINISHED
Object moving-jumping Ninji E310939 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: moving-jumping Ninji | Statement: [Ninji, hasVariant, moving-jumping Ninji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: moving-jumping Ninji
Context triple: [Ninji, hasVariant, moving-jumping Ninji]
  • A. Ninja
    Ninja is a South African rapper and actor best known as one half of the rave-rap duo Die Antwoord and for his distinctive, provocative performance style.
  • B. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • C. Ninja
    The Kawasaki OH-1 "Ninja" is a Japanese light observation and scout helicopter designed for reconnaissance and target designation missions.
  • D. Ninjas (Adventure Time)
    Ninjas in Adventure Time are a secretive group of stealthy warriors who once possessed Finn’s grass sword and embody classic ninja traits like agility, concealment, and covert combat skills within the Land of Ooo.
  • E. Ninji chosen
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27d8110819087ade3537f867ae0 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.