Triple

T11766578
Position Surface form Disambiguated ID Type / Status
Subject 1996 Russian presidential election E279796 entity
Predicate candidate P1223 FINISHED
Object Martin Shakkum
Martin Shakkum is a Russian politician and public figure who ran as a candidate in the 1996 Russian presidential election.
E948836 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: Martin Shakkum | Statement: [1996 Russian presidential election, candidate, Martin Shakkum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Shakkum
Context triple: [1996 Russian presidential election, candidate, Martin Shakkum]
  • A. Mark Shivas
    Mark Shivas was a British television and film producer known for his influential work at the BBC and involvement in notable British dramas and comedies.
  • B. Ken Shadie
    Ken Shadie was an Australian screenwriter best known for co-writing the hit 1986 comedy film "Crocodile Dundee."
  • C. Shawn Eichman
    Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
  • D. John Sharian
    John Sharian is an American actor and director best known for his role as Ivan in the psychological thriller film "The Machinist."
  • E. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • 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: Martin Shakkum
Triple: [1996 Russian presidential election, candidate, Martin Shakkum]
Generated description
Martin Shakkum is a Russian politician and public figure who ran as a candidate in the 1996 Russian presidential election.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin Shakkum
Target entity description: Martin Shakkum is a Russian politician and public figure who ran as a candidate in the 1996 Russian presidential election.
  • A. Mark Shivas
    Mark Shivas was a British television and film producer known for his influential work at the BBC and involvement in notable British dramas and comedies.
  • B. Ken Shadie
    Ken Shadie was an Australian screenwriter best known for co-writing the hit 1986 comedy film "Crocodile Dundee."
  • C. Shawn Eichman
    Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
  • D. John Sharian
    John Sharian is an American actor and director best known for his role as Ivan in the psychological thriller film "The Machinist."
  • E. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a525948081908af62cc5d4c7c482 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130b45ce081908669f4287961da7c completed April 28, 2026, 10:12 p.m.
NEDg Description generation batch_69f138b5f8988190a7ff95095eafd0b1 completed April 28, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69f14e9b30a88190a054961a2f7fc80d completed April 29, 2026, 12:19 a.m.
Created at: April 8, 2026, 9:41 p.m.