Triple

T4261470
Position Surface form Disambiguated ID Type / Status
Subject Arthur Nikisch E96113 entity
Predicate familyName P18 FINISHED
Object Nikisch
Nikisch is a surname most notably associated with Arthur Nikisch, a renowned late 19th- and early 20th-century Hungarian conductor.
 E425748 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: Nikisch | Statement: [Arthur Nikisch, familyName, Nikisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikisch
Context triple: [Arthur Nikisch, familyName, Nikisch]
  • A. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • B. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • C. Eishiro
    Eishiro is a Japanese given name that can be used for male individuals.
  • D. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • E. Rittō
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • 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: Nikisch
Triple: [Arthur Nikisch, familyName, Nikisch]
Generated description
Nikisch is a surname most notably associated with Arthur Nikisch, a renowned late 19th- and early 20th-century Hungarian conductor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikisch
Target entity description: Nikisch is a surname most notably associated with Arthur Nikisch, a renowned late 19th- and early 20th-century Hungarian conductor.
  • A. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • B. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • C. Eishiro
    Eishiro is a Japanese given name that can be used for male individuals.
  • D. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • E. Rittō
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f82b2688190bf4c581e13a9c4b9 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78c93c48190a4274f0de3fc2d25 completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5b85f31d481908f85ea08b9af5b52 completed March 14, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8d0fc1c8190908724ea4f7c3d17 completed March 14, 2026, 7:36 p.m.
Created at: March 12, 2026, 11:06 p.m.