Triple

T11457328
Position Surface form Disambiguated ID Type / Status
Subject Prince Cedza Dlamini E271563 entity
Predicate familyName P18 FINISHED
Object Dlamini E271562 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: Dlamini | Statement: [Prince Cedza Dlamini, familyName, Dlamini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dlamini
Context triple: [Prince Cedza Dlamini, familyName, Dlamini]
  • A. Dlamini chosen
    Dlamini is a common Southern African surname of Swazi origin, notably associated with the Swazi royal family and various prominent public figures.
  • B. Thandiwe
    Thandiwe is a feminine given name of African origin, notably borne by British-Zimbabwean actress Thandiwe Newton.
  • C. Mantfombi Dlamini
    Mantfombi Dlamini was a Swazi-born princess who became queen consort and later queen regent of the Zulu nation in South Africa.
  • D. Ramphele
    Ramphele is a South African physician, anti-apartheid activist, academic, and businesswoman who became one of the country’s most prominent public intellectuals and political figures.
  • E. Sibongile Winifred Dlamini
    Sibongile Winifred Dlamini is a South African royal figure best known as one of the principal wives of the late Zulu King Goodwill Zwelithini kaBhekuzulu.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c71b1208190be1d5623d18e0222 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f28076f52881908e4438f623af2749 completed April 29, 2026, 10:04 p.m.
Created at: April 8, 2026, 9:35 p.m.