Triple

T10145310
Position Surface form Disambiguated ID Type / Status
Subject Iacomus E231690 entity
Predicate hasVariant P455 FINISHED
Object Jacobus E45465 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: Jacobus | Statement: [Iacomus, hasVariant, Jacobus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacobus
Context triple: [Iacomus, hasVariant, Jacobus]
  • A. Jacobus chosen
    Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
  • B. Nikolaas
    Nikolaas is a Dutch given name, equivalent to Nicholas, commonly used in the Netherlands and Flanders.
  • C. Jozias
    Jozias is a Dutch politician best known for serving as Minister of Foreign Affairs and later as Mayor of The Hague.
  • D. Johannes
    Johannes is the given first name of Hubertus van Mook, a Dutch colonial administrator who served as Governor-General of the Dutch East Indies during and after World War II.
  • E. Johannes
    Johannes is the given name of Frederik Johannes Willem Reitz, a prominent South African lawyer, politician, and former State President of the Orange Free State.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2a373081908615f7b2314e7f90 completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3009992388190ab2a4aee23d0e004 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:07 p.m.