Triple

T10145311
Position Surface form Disambiguated ID Type / Status
Subject Iacomus E231690 entity
Predicate hasVariant P455 FINISHED
Object Jacobus (Latin form) 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 (Latin form) | Statement: [Iacomus, hasVariant, Jacobus (Latin form)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacobus (Latin form)
Context triple: [Iacomus, hasVariant, Jacobus (Latin form)]
  • 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. Justus
    Justus is a given name of Latin origin, historically used across various European cultures and often associated with early Christian figures and saints.
  • C. Johannes
    Johannes is a masculine given name of Hebrew origin, related to names like John and Johan and common in various European languages.
  • 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 first name of the German nuclear physicist Hans D. Jensen, a Nobel Prize laureate in Physics.
  • 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_69d2e62236c88190a6ddaf4957cb8b5f completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.