Triple

T5651020
Position Surface form Disambiguated ID Type / Status
Subject Lev Sedov E124508 entity
Predicate familyName P18 FINISHED
Object Sedov
Sedov is a Russian surname most notably associated with Lev Sedov, the revolutionary son of Leon Trotsky.
E535375 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: Sedov | Statement: [Lev Sedov, familyName, Sedov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sedov
Context triple: [Lev Sedov, familyName, Sedov]
  • A. Kozhedub
    Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
  • B. Saha
    Saha is a surname most notably associated with Indian astrophysicist Meghnad Saha, known for the Saha ionization equation in stellar astrophysics.
  • C. Saha
    Saha is a small town in the Ambala district of the northern Indian state of Haryana, known primarily as a local commercial and transport hub for surrounding rural areas.
  • D. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • E. Kapitsa
    Kapitsa is a Russian surname most notably associated with a family of prominent physicists, including Nobel laureate Pyotr Kapitsa and science popularizer Sergei Kapitsa.
  • 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: Sedov
Triple: [Lev Sedov, familyName, Sedov]
Generated description
Sedov is a Russian surname most notably associated with Lev Sedov, the revolutionary son of Leon Trotsky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sedov
Target entity description: Sedov is a Russian surname most notably associated with Lev Sedov, the revolutionary son of Leon Trotsky.
  • A. Kozhedub
    Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
  • B. Saha
    Saha is a surname most notably associated with Indian astrophysicist Meghnad Saha, known for the Saha ionization equation in stellar astrophysics.
  • C. Saha
    Saha is a small town in the Ambala district of the northern Indian state of Haryana, known primarily as a local commercial and transport hub for surrounding rural areas.
  • D. Slobodskoy
    Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
  • E. Kapitsa
    Kapitsa is a Russian surname most notably associated with a family of prominent physicists, including Nobel laureate Pyotr Kapitsa and science popularizer Sergei Kapitsa.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d4ca788190b20168b20cb1d030 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d90c04881908740fb1089c5248a completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edcc0208190bd69b5cce89596f9 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ff814b88190ad01844ae2629c6e completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:42 p.m.