Triple

T18260078
Position Surface form Disambiguated ID Type / Status
Subject Norman Panama E437323 entity
Predicate notableWork P4 FINISHED
Object Call Me Bwana NE NERFINISHED

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: Call Me Bwana | Statement: [Norman Panama, notableWork, Call Me Bwana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Call Me Bwana
Context triple: [Norman Panama, notableWork, Call Me Bwana]
  • A. Call Me Bwana chosen
    Call Me Bwana is a 1963 British comedy film starring Bob Hope that parodies African safari and space-race themes.
  • B. Mama Africa
    "Mama Africa" is a roots reggae album by Jamaican musician Peter Tosh that blends socially conscious lyrics with traditional and contemporary reggae sounds.
  • C. Mama Africa
    "Mama Africa" is a socially conscious Afropop/R&B song by Akon that celebrates and pays tribute to the African continent and its people.
  • D. Mama Africa
    Mama Africa is the affectionate nickname of South African singer and civil rights activist Miriam Makeba, renowned worldwide for her powerful voice and role in the anti-apartheid movement.
  • E. Mama Africa
    Mama Africa is a 2016 studio album by Nigerian singer Yemi Alade that blends Afro-pop, highlife, and dance music while celebrating African culture and womanhood.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7591b4819083f2b29d60298747 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.