Triple

T12028095
Position Surface form Disambiguated ID Type / Status
Subject Makgatho Mandela E286329 entity
Predicate givenName P17 FINISHED
Object Makgatho E286329 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: Makgatho | Statement: [Makgatho Mandela, givenName, Makgatho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makgatho
Context triple: [Makgatho Mandela, givenName, Makgatho]
  • A. Makgatho chosen
    Makgatho is a South African lawyer and businessman best known as the son of former president Nelson Mandela.
  • B. Mzilikazi
    Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
  • C. Puthandu
    Puthandu is the Tamil New Year festival, celebrated primarily in the Indian state of Tamil Nadu and by Tamil communities worldwide with rituals, feasting, and cultural traditions.
  • D. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • E. Umkhosi woMhlanga
    Umkhosi woMhlanga is a traditional Zulu cultural ceremony in South Africa in which young women participate in a reed dance to celebrate purity, womanhood, and community heritage.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f13ae8819097a5740f7c51df82 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8111b88190a42a8904a2d26862 completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.