Triple
T11172280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro |
E264303
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Sergey Astakhov
Sergey Astakhov is a Russian cinematographer known for his work on films such as "Metro."
|
E1181956
|
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: Sergey Astakhov | Statement: [Metro, cinematographyBy, Sergey Astakhov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergey Astakhov Context triple: [Metro, cinematographyBy, Sergey Astakhov]
-
A.
Sergey Sokolov
Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
-
B.
Igor Shchyogolev
Igor Shchyogolev is a Russian politician and former Minister of Communications and Mass Media who has held several high-ranking government positions.
-
C.
Alexey Gornostaev
Alexey Gornostaev was a 19th-century Russian architect known for his influential work in the Russian Revival style.
-
D.
Sergei Zholtok
Sergei Zholtok was a Latvian professional ice hockey forward who played in the NHL during the 1990s and early 2000s before his untimely death in 2004.
-
E.
Alexey Bardukov
Alexey Bardukov is a Russian film and television actor known for his roles in contemporary Russian cinema and TV series.
- 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: Sergey Astakhov Triple: [Metro, cinematographyBy, Sergey Astakhov]
Generated description
Sergey Astakhov is a Russian cinematographer known for his work on films such as "Metro."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sergey Astakhov Target entity description: Sergey Astakhov is a Russian cinematographer known for his work on films such as "Metro."
-
A.
Sergey Sokolov
Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
-
B.
Igor Shchyogolev
Igor Shchyogolev is a Russian politician and former Minister of Communications and Mass Media who has held several high-ranking government positions.
-
C.
Alexey Gornostaev
Alexey Gornostaev was a 19th-century Russian architect known for his influential work in the Russian Revival style.
-
D.
Sergei Zholtok
Sergei Zholtok was a Latvian professional ice hockey forward who played in the NHL during the 1990s and early 2000s before his untimely death in 2004.
-
E.
Alexey Bardukov
Alexey Bardukov is a Russian film and television actor known for his roles in contemporary Russian cinema and TV series.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa92635b08190a333702bec5b94e9 |
completed | May 9, 2026, 9:37 p.m. |
| NEDg | Description generation | batch_69ffaae751108190af653b2c9b9d3b8b |
completed | May 9, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab58e7e481908a13b739e0401b8b |
completed | May 9, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:29 p.m.