Triple

T11411897
Position Surface form Disambiguated ID Type / Status
Subject Mark Naimark E270390 entity
Predicate familyName P18 FINISHED
Object Naimark
Naimark is a surname most notably associated with mathematician Mark Naimark, known for his contributions to functional analysis and operator theory.
 E924209 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: Naimark | Statement: [Mark Naimark, familyName, Naimark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naimark
Context triple: [Mark Naimark, familyName, Naimark]
  • A. Nikolski
    Nikolski is a small, remote Aleut village located on Umnak Island in Alaska’s Aleutian chain.
  • B. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • C. Karsavina
    Karsavina is the surname of Tamara Karsavina, a renowned Russian prima ballerina of the early 20th century.
  • D. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • 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: Naimark
Triple: [Mark Naimark, familyName, Naimark]
Generated description
Naimark is a surname most notably associated with mathematician Mark Naimark, known for his contributions to functional analysis and operator theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naimark
Target entity description: Naimark is a surname most notably associated with mathematician Mark Naimark, known for his contributions to functional analysis and operator theory.
  • A. Nikolski
    Nikolski is a small, remote Aleut village located on Umnak Island in Alaska’s Aleutian chain.
  • B. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • C. Karsavina
    Karsavina is the surname of Tamara Karsavina, a renowned Russian prima ballerina of the early 20th century.
  • D. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8015017d08190b4020c76545556d6 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b855f0508190a2e57ef9407ddb1a completed April 20, 2026, 5:23 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.