Triple

T19951844
Position Surface form Disambiguated ID Type / Status
Subject Marthinus Theunis Steyn E479574 entity
Predicate givenName P17 FINISHED
Object Theunis 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: Theunis | Statement: [Marthinus Theunis Steyn, givenName, Theunis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theunis
Context triple: [Marthinus Theunis Steyn, givenName, Theunis]
  • A. Theunis chosen
    Theunis is a given name most notably associated with Marthinus Theunis Steyn, the last president of the independent Orange Free State during the Second Boer War.
  • B. Boshoff
    Boshoff is an Afrikaans-origin surname commonly found in South Africa, associated with several notable historical and contemporary figures.
  • C. Marthinus
    Marthinus is a masculine given name of Afrikaans and Dutch origin, historically borne by several notable South African figures.
  • D. Lwalu
    Lwalu is a Bantu language spoken in parts of Central Africa, classified within Guthrie’s Zone L group of Bantu languages.
  • E. Dube
    Dube is a residential neighborhood in Soweto, South Africa, known for its historical significance in the anti-apartheid struggle.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6c87388190a1bada3117acaf7b completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.