Triple

T12260229
Position Surface form Disambiguated ID Type / Status
Subject Epistles of Mama E292201 entity
Predicate featuresArtist P1952 FINISHED
Object King Promise E298316 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: King Promise | Statement: [Epistles of Mama, featuresArtist, King Promise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Promise
Context triple: [Epistles of Mama, featuresArtist, King Promise]
  • A. King Promise chosen
    King Promise is a Ghanaian singer and songwriter known for his smooth Afrobeats and highlife-influenced music.
  • B. King Push
    King Push is a hard-hitting hip-hop track by Pusha T that showcases his gritty lyricism and coke-rap persona.
  • C. Rollin King
    Rollin King was an American businessman and co-founder of Southwest Airlines, instrumental in shaping the low-cost airline model in the United States.
  • D. King Kahn
    King Kahn is the famous nickname of Oliver Kahn, the legendary German goalkeeper renowned for his commanding presence, leadership, and intense competitive spirit.
  • E. Daddy King
    Daddy King was the influential Baptist minister and civil rights leader who was the father of Martin Luther King Jr.
  • 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_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac1b5148190838b782848e3fa36 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.