Triple

T12258829
Position Surface form Disambiguated ID Type / Status
Subject Sounds from the Other Side E292168 entity
Predicate featuresArtist P1952 FINISHED
Object Tyga E340499 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: Tyga | Statement: [Sounds from the Other Side, featuresArtist, Tyga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyga
Context triple: [Sounds from the Other Side, featuresArtist, Tyga]
  • A. Tyga chosen
    Tyga is an American rapper and songwriter known for hits like "Rack City" and his association with the Young Money Entertainment label.
  • B. Flo Rida
    Flo Rida is an American rapper and singer known for his catchy, club-oriented hip hop and pop hits such as "Low" and "Right Round."
  • C. Tay Keith
    Tay Keith is an American record producer and songwriter best known for crafting hard-hitting trap beats for artists like Drake, Travis Scott, and Lil Baby.
  • D. Waka Flocka Flame
    Waka Flocka Flame is an American rapper known for his aggressive trap sound and hits like "No Hands" and "Hard in da Paint."
  • E. Wiz Khalifa
    Wiz Khalifa is an American rapper, singer, and songwriter known for hits like "Black and Yellow" and his laid-back, weed-centric persona.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ccadc3c81908fe68adc3fdcc851 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e63da6081908840b1e37fd39b88 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.