Triple

T13815261
Position Surface form Disambiguated ID Type / Status
Subject Vilhelm E331997 entity
Predicate relatedName P3889 FINISHED
Object Vilhelms E331997 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: Vilhelms | Statement: [Vilhelm, relatedName, Vilhelms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilhelms
Context triple: [Vilhelm, relatedName, Vilhelms]
  • A. Vilhelm chosen
    Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
  • B. Waldemar
    Waldemar is a masculine given name of Germanic origin, historically associated with Scandinavian and Central European nobility and notable figures.
  • C. Ludvig
    Ludvig is a given name, primarily used in Scandinavian countries, that is a variant spelling of Ludwig.
  • D. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • E. Miklas
    Miklas is an Austrian surname most notably borne by Wilhelm Miklas, who served as President of Austria from 1928 to 1938.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e0112481909deb31f8614f8b93 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.