Triple

T8675459
Position Surface form Disambiguated ID Type / Status
Subject Artur Rodziński E205901 entity
Predicate givenName P17 FINISHED
Object Artur E325012 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: Artur | Statement: [Artur Rodziński, givenName, Artur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artur
Context triple: [Artur Rodziński, givenName, Artur]
  • A. Artur chosen
    Artur is a masculine given name of Celtic origin, commonly used in various European countries and often associated with the legendary King Arthur.
  • B. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • C. Waldemar
    Waldemar is a masculine given name of Germanic origin, historically associated with Scandinavian and Central European nobility and notable figures.
  • D. Roderich
    Roderich is a Germanic given name, cognate with names like Roderic, typically associated with historical and noble European usage.
  • E. Willigis
    Willigis was a powerful 10th-century German churchman and statesman who rose from humble origins to become one of the most influential political and ecclesiastical figures of the Holy Roman Empire.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f54dfc8190b7a61e7ed1cfcbeb completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3a008d48190bd0e58f615eda148 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.