Triple

T9493093
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Minkus E228937 entity
Predicate familyName P18 FINISHED
Object Minkus
Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
E802259 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: Minkus | Statement: [Ludwig Minkus, familyName, Minkus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minkus
Context triple: [Ludwig Minkus, familyName, Minkus]
  • A. Minkels
    Minkels is a data center infrastructure brand known for its modular server racks, cooling solutions, and cable management systems, now part of the Legrand group.
  • B. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • E. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • 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: Minkus
Triple: [Ludwig Minkus, familyName, Minkus]
Generated description
Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minkus
Target entity description: Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
  • A. Minkels
    Minkels is a data center infrastructure brand known for its modular server racks, cooling solutions, and cable management systems, now part of the Legrand group.
  • B. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • E. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95e8c8908190950e1130f9612823 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d2e2a64819097d87b3cf304f036 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12e20f4ac8190bd6aef228f13689e completed April 4, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69d12eae212481908f2136966fca8df5 completed April 4, 2026, 3:30 p.m.
Created at: March 30, 2026, 7:56 p.m.