Triple

T15426427
Position Surface form Disambiguated ID Type / Status
Subject Ian Khama E369522 entity
Predicate familyName P18 FINISHED
Object Khama E253950 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: Khama | Statement: [Ian Khama, familyName, Khama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khama
Context triple: [Ian Khama, familyName, Khama]
  • A. Kgalema
    Kgalema is a South African politician who served as the country's third post-apartheid president and later as deputy president.
  • B. Longuda
    Longuda are an ethnic group in northeastern Nigeria, primarily known for their distinct language and cultural presence in and around Adamawa State.
  • C. Sabata Dalindyebo
    Sabata Dalindyebo was a prominent South African traditional leader and king of the Thembu people who became known for his resistance to apartheid-era policies.
  • D. Nzimande
    Nzimande is a South African surname most prominently associated with politician and academic Blade Nzimande.
  • E. Seretse Khama chosen
    Seretse Khama was the founding President of Botswana and a key figure in leading the country to independence and early democratic stability.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec1fb288190a3625b8e4f487dd1 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf5d788819086a94af42c2ec21a completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:20 a.m.