Triple

T13415644
Position Surface form Disambiguated ID Type / Status
Subject Mary E313204 entity
Predicate featuresArtist P1952 FINISHED
Object Mugeez E981415 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: Mugeez | Statement: [Mary, featuresArtist, Mugeez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mugeez
Context triple: [Mary, featuresArtist, Mugeez]
  • A. Mugeez chosen
    Mugeez is a Ghanaian singer and one-half of the Afrobeats duo R2Bees, known for his smooth vocals and contributions to contemporary African music.
  • B. Ayub Ogada
    Ayub Ogada was a Kenyan musician and singer renowned for his evocative performances on the nyatiti, blending traditional Luo music with contemporary world music influences.
  • C. Abeid Karume
    Abeid Karume was a Zanzibari revolutionary leader and the first President of Zanzibar, instrumental in shaping the islands’ post-revolution political landscape and union with Tanganyika to form Tanzania.
  • D. Hassan Farah
    Hassan Farah is the twin brother of British long-distance running legend and multiple Olympic champion Mo Farah.
  • E. Abduwali Muse
    Abduwali Muse is the Somali pirate leader who hijacks the Maersk Alabama in the film "Captain Phillips."
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308095548190afb659b84f2775f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.