Triple

T6163393
Position Surface form Disambiguated ID Type / Status
Subject ZANU–PF E137496 entity
Predicate keyFigure P256 FINISHED
Object Joice Mujuru E257677 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: Joice Mujuru | Statement: [ZANU–PF, keyFigure, Joice Mujuru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joice Mujuru
Context triple: [ZANU–PF, keyFigure, Joice Mujuru]
  • A. Joice Mujuru chosen
    Joice Mujuru is a Zimbabwean politician and former vice president, noted for her long tenure in government and role in the country’s liberation struggle.
  • B. Dorothy Macha
    Dorothy Macha is a ruthless and flamboyant crime boss portrayed by Ray Liotta in the psychological crime thriller film "Revolver" (2005).
  • C. Mary Masombuka
    Mary Masombuka is a central student activist character in the South African musical film and stage play "Sarafina!", symbolizing youth resistance against apartheid.
  • D. Nakate
    Nakate is a Ugandan surname most prominently associated with climate activist Vanessa Nakate.
  • E. Maria Nyerere
    Maria Nyerere is the widow of Tanzania’s founding president Julius Nyerere and a prominent Tanzanian public figure known for her role in national and social affairs.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d5e8edc8190a7a394ee832bac9f completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419e7f0481908b7ce6f36871f1ad completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.