Triple

T15419054
Position Surface form Disambiguated ID Type / Status
Subject Black Mafia Life E369322 entity
Predicate featuresArtist P1952 FINISHED
Object Kokane E399985 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: Kokane | Statement: [Black Mafia Life, featuresArtist, Kokane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokane
Context triple: [Black Mafia Life, featuresArtist, Kokane]
  • A. Kokane chosen
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • B. Kasagi
    Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
  • C. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • D. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • E. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f29cee481908f0f81c4cc581f7f completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 3:20 a.m.