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.