Triple

T3477145
Position Surface form Disambiguated ID Type / Status
Subject SaveMoney E73400 entity
Predicate notableMember P10 FINISHED
Object Kami E361506 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: Kami | Statement: [SaveMoney, notableMember, Kami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kami
Context triple: [SaveMoney, notableMember, Kami]
  • A. Kami chosen
    Kami is a Japanese rapper and member of the hip hop duo SaveMoney, known for his energetic style and contributions to Chicago’s alternative rap scene.
  • B. Kido
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • C. Son Kitei
    Son Kitei was the Korean-born marathon runner who won the gold medal for Japan at the 1936 Berlin Olympics, later symbolizing the complex colonial history between Korea and Japan.
  • D. Hayakaken
    Hayakaken is a rechargeable contactless smart card used for public transportation in the Fukuoka area of Japan.
  • E. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5a5cb88190be5624ae224e4c91 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b2058081908558bdea4043b051 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.