Triple

T13600749
Position Surface form Disambiguated ID Type / Status
Subject Bucky Done Gun E324933 entity
Predicate samplingArtist P17564 FINISHED
Object Deize Tigrona E1049952 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: Deize Tigrona | Statement: [Bucky Done Gun, samplingArtist, Deize Tigrona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deize Tigrona
Context triple: [Bucky Done Gun, samplingArtist, Deize Tigrona]
  • A. Deize Tigrona chosen
    Deize Tigrona is a Brazilian funk carioca singer and songwriter known for her raw, baile-funk style and influential collaborations with international electronic and pop artists.
  • B. Tigani
    Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
  • C. Arianna the Bear
    Arianna the Bear is a fictional anthropomorphic bear character who resides in the town of Stoolbend in the animated TV series "The Cleveland Show."
  • D. Tigana
    Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
  • E. Lion-Mher
    Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f92224c8190b66adef1291cd47f completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.