Triple

T2182212
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Bulganin E49069 entity
Predicate familyName P18 FINISHED
Object Bulganin
Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
E243844 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: Bulganin | Statement: [Nikolai Bulganin, familyName, Bulganin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulganin
Context triple: [Nikolai Bulganin, familyName, Bulganin]
  • A. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • B. Demchugdongrub
    Demchugdongrub was a Mongol prince and political leader who headed the Japanese puppet state of Mengjiang in Inner Mongolia during the Second Sino-Japanese War.
  • C. Pishpek
    Pishpek, now known as Bishkek, is the capital and largest city of Kyrgyzstan in Central Asia.
  • D. Khopyor
    Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
  • E. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • 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: Bulganin
Triple: [Nikolai Bulganin, familyName, Bulganin]
Generated description
Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bulganin
Target entity description: Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
  • A. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • B. Demchugdongrub
    Demchugdongrub was a Mongol prince and political leader who headed the Japanese puppet state of Mengjiang in Inner Mongolia during the Second Sino-Japanese War.
  • C. Pishpek
    Pishpek, now known as Bishkek, is the capital and largest city of Kyrgyzstan in Central Asia.
  • D. Khopyor
    Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
  • E. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653de18481909c3521e060540a38 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae65d419048190ad723d21ab7f1cab completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae666e71908190b50be2cac5bdfa28 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:45 p.m.