Triple

T9928890
Position Surface form Disambiguated ID Type / Status
Subject Markian Popov E192592 entity
Predicate familyName P18 FINISHED
Object Popov
Popov is a common Slavic surname borne by numerous notable figures in fields such as science, military, sports, and the arts across Russia and other Eastern European countries.
 E192592 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: Popov | Statement: [Markian Popov, familyName, Popov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Popov
Context triple: [Markian Popov, familyName, Popov]
  • A. Popova
    Popova is a Russian surname most famously associated with Lyubov Popova, a pioneering avant-garde artist and designer of the early 20th century.
  • B. Markian Popov
    Markian Popov was a Soviet Army general and World War II front commander who played a significant role in major Eastern Front operations against Nazi Germany.
  • C. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • D. Preslav
    Preslav is an ancient Bulgarian city that served as a major medieval political and cultural capital of the First Bulgarian Empire and a key center of Slavic literacy and Orthodox Christianity.
  • E. Predrag
    Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
  • 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: Popov
Triple: [Markian Popov, familyName, Popov]
Generated description
Popov is a common Slavic surname borne by numerous notable figures in fields such as science, military, sports, and the arts across Russia and other Eastern European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Popov
Target entity description: Popov is a common Slavic surname borne by numerous notable figures in fields such as science, military, sports, and the arts across Russia and other Eastern European countries.
  • A. Popova
    Popova is a Russian surname most famously associated with Lyubov Popova, a pioneering avant-garde artist and designer of the early 20th century.
  • B. Markian Popov chosen
    Markian Popov was a Soviet Army general and World War II front commander who played a significant role in major Eastern Front operations against Nazi Germany.
  • C. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • D. Preslav
    Preslav is an ancient Bulgarian city that served as a major medieval political and cultural capital of the First Bulgarian Empire and a key center of Slavic literacy and Orthodox Christianity.
  • E. Predrag
    Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
  • F. None of above.

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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b215c481909e0bca43f158bd82 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e258e888190ae4e2abac80e3399 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d21229a1188190899df0d8d7f78a7d completed April 5, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69d212a46ee48190aa629a189dee531d completed April 5, 2026, 7:43 a.m.
Created at: March 30, 2026, 8:43 p.m.