Triple

T6572508
Position Surface form Disambiguated ID Type / Status
Subject Udo Jürgens E155475 entity
Predicate givenName P17 FINISHED
Object Udo
Udo is a masculine given name of Germanic origin, commonly used in German-speaking countries.
 E603236 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: Udo | Statement: [Udo Jürgens, givenName, Udo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Udo
Context triple: [Udo Jürgens, givenName, Udo]
  • A. Udi
    Udi is a town and local government area in southeastern Nigeria known for its hilly terrain and proximity to Enugu city.
  • B. Ubba
    Ubba was a prominent Viking warlord of the 9th century, traditionally regarded as one of the principal commanders of the Great Heathen Army that invaded Anglo-Saxon England.
  • C. Ugo
    Ugo is an Italian given name, cognate with the English name Hugh, traditionally associated with meanings related to mind, spirit, or heart.
  • D. Ushu
    Ushu is a scenic mountainous village in Pakistan’s Swat Valley, known for its lush forests, rivers, and access to trekking and natural viewpoints.
  • E. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • 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: Udo
Triple: [Udo Jürgens, givenName, Udo]
Generated description
Udo is a masculine given name of Germanic origin, commonly used in German-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Udo
Target entity description: Udo is a masculine given name of Germanic origin, commonly used in German-speaking countries.
  • A. Udi
    Udi is a town and local government area in southeastern Nigeria known for its hilly terrain and proximity to Enugu city.
  • B. Ubba
    Ubba was a prominent Viking warlord of the 9th century, traditionally regarded as one of the principal commanders of the Great Heathen Army that invaded Anglo-Saxon England.
  • C. Ugo
    Ugo is an Italian given name, cognate with the English name Hugh, traditionally associated with meanings related to mind, spirit, or heart.
  • D. Ushu
    Ushu is a scenic mountainous village in Pakistan’s Swat Valley, known for its lush forests, rivers, and access to trekking and natural viewpoints.
  • E. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae6faa3c81908f1777d616cece46 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56a7de88190948fdd052dd4d5d5 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d6acc2208190ac47c60bb896c1cd completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:53 p.m.