Triple

T12991318
Position Surface form Disambiguated ID Type / Status
Subject Patoranking E321911 entity
Predicate collaboratedWith P435 FINISHED
Object Timaya E988184 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: Timaya | Statement: [Patoranking, collaboratedWith, Timaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timaya
Context triple: [Patoranking, collaboratedWith, Timaya]
  • A. Timaya chosen
    Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
  • B. Timia
    Timia is an oasis village in northern Niger, known for its date palms, gardens, and role as a traditional Tuareg settlement in the Aïr Mountains.
  • C. Tainy
    Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
  • D. Kaoma
    Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
  • E. Sho Madjozi
    Sho Madjozi is a South African rapper, singer, and songwriter known for blending Tsonga culture with contemporary hip-hop and gqom music.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:43 p.m.