Triple

T3079204
Position Surface form Disambiguated ID Type / Status
Subject Artur Axmann E64212 entity
Predicate givenName P17 FINISHED
Object Artur
Artur is a masculine given name of Celtic origin, commonly used in various European countries and often associated with the legendary King Arthur.
 E325012 NE FINISHED

How this triple was built (4 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 Axmann, givenName, Artur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Artur
Context triple: [Artur Axmann, givenName, Artur]
  • A. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • B. Waldemar
    Waldemar is a masculine given name of Germanic origin, historically associated with Scandinavian and Central European nobility and notable figures.
  • C. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • D. Hagen Bogdanski
    Hagen Bogdanski is a German cinematographer known for his atmospheric visual style in films such as "The Young Victoria" and "The Lives of Others."
  • E. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Artur
Triple: [Artur Axmann, givenName, Artur]
Generated description
Artur is a masculine given name of Celtic origin, commonly used in various European countries and often associated with the legendary King Arthur.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Artur
Target entity description: Artur is a masculine given name of Celtic origin, commonly used in various European countries and often associated with the legendary King Arthur.
  • A. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • B. Waldemar
    Waldemar is a masculine given name of Germanic origin, historically associated with Scandinavian and Central European nobility and notable figures.
  • C. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • D. Hagen Bogdanski
    Hagen Bogdanski is a German cinematographer known for his atmospheric visual style in films such as "The Young Victoria" and "The Lives of Others."
  • E. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • F. None of above. chosen

Provenance (5 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a86a848190a47ca127cc7e6326 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f890a21c8190bcb78fe5c9ec6e75 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f9883fa48190b41921bcfbe55e59 completed March 11, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9f759408190a4f2121078fe13cb completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:02 p.m.