Triple

T23360008
Position Surface form Disambiguated ID Type / Status
Subject Cameroonian independence movement E593158 entity
Predicate notableLeader P304 FINISHED
Object Ruben Um Nyobè 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: Ruben Um Nyobè | Statement: [Cameroonian independence movement, notableLeader, Ruben Um Nyobè]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruben Um Nyobè
Context triple: [Cameroonian independence movement, notableLeader, Ruben Um Nyobè]
  • A. Ruben Um Nyobè chosen
    Ruben Um Nyobè was a prominent Cameroonian anti-colonial leader and nationalist figure who played a key role in the struggle for independence from French rule.
  • B. Bena-Mboi
    Bena-Mboi is a group of closely related Niger-Congo languages spoken primarily in parts of Nigeria.
  • C. William Kentridge
    William Kentridge is a South African artist renowned for his animated films, charcoal drawings, and politically charged works addressing apartheid and memory.
  • D. Bobo Madaré
    Bobo Madaré is an ethnolinguistic group of the Bobo people of West Africa, primarily associated with regions of present-day Burkina Faso and Mali.
  • E. Vik Muniz
    Vik Muniz is a Brazilian contemporary artist renowned for creating intricate images from unconventional materials such as sugar, chocolate, garbage, and magazine clippings, which he then photographs as the final artwork.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a730f8819088fec53a43b063f8 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.