Triple

T17034249
Position Surface form Disambiguated ID Type / Status
Subject Git Up, Git Out E413277 entity
Predicate lyricist P1360 FINISHED
Object T-Mo E416772 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: T-Mo | Statement: [Git Up, Git Out, lyricist, T-Mo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T-Mo
Context triple: [Git Up, Git Out, lyricist, T-Mo]
  • A. T-Mo chosen
    T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
  • B. Tigo
    Tigo is a multinational telecommunications company that provides mobile, internet, and digital services across several countries in Latin America and Africa.
  • C. T-Com
    T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
  • D. MiMo
    MiMo is a distinctive post-World War II Miami Modernist architectural style characterized by playful curves, glass, and futuristic motifs, especially prominent in Miami Beach.
  • E. Mifi
    Mifi is a department in Cameroon's West Region, serving as an administrative division with its own local governance and population centers.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8eea4448190bd2eed88de2b4e73 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012336cfd481909f93c6ea7c94b49f completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.