Triple

T19191376
Position Surface form Disambiguated ID Type / Status
Subject Rinako Kikuchi E469845 entity
Predicate awardNominationForWork P25539 FINISHED
Object Babel NE NERFINISHED

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: Babel | Statement: [Rinako Kikuchi, awardNominationForWork, Babel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babel
Context triple: [Rinako Kikuchi, awardNominationForWork, Babel]
  • A. Babel
    Babel is a widely used JavaScript compiler that transforms modern ECMAScript code into backward-compatible versions for older environments and tooling.
  • B. Babel chosen
    Babel is a notable work by Japanese dancer and choreographer Yuriko Kikuchi (also known as Yuriko), reflecting her influential contributions to modern dance.
  • C. Babel
    Babel is the second studio album by British folk rock band Mumford & Sons, known for its anthemic sound and commercial success, including winning the Grammy Award for Album of the Year.
  • D. Babel
    Babel is a surname most famously associated with Isaac Babel, the Russian-Jewish writer known for his innovative short stories and depictions of early Soviet life.
  • E. Babel
    Babel is the biblical city associated with the Tower of Babel narrative, symbolizing human pride, divine judgment, and the fragmentation of human language and community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a226dc8190a8a96960a4180298 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.