Triple
T11172279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro |
E264303
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Artem Vasiliev
Artem Vasiliev is a musical artist and composer known for creating the soundtrack for the film "Metro."
|
E1180052
|
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: Artem Vasiliev | Statement: [Metro, musicBy, Artem Vasiliev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artem Vasiliev Context triple: [Metro, musicBy, Artem Vasiliev]
-
A.
Evgeny Artyukhin
Evgeny Artyukhin is a Russian professional ice hockey forward known for his size, physical style of play, and seasons in the NHL and KHL.
-
B.
Sergei Belov
Sergei Belov was a legendary Soviet and Russian basketball player widely regarded as one of the greatest European guards in history.
-
C.
Andrei Voronkov
Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
-
D.
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.
-
E.
Alexey Gornostaev
Alexey Gornostaev was a 19th-century Russian architect known for his influential work in the Russian Revival style.
- 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: Artem Vasiliev Triple: [Metro, musicBy, Artem Vasiliev]
Generated description
Artem Vasiliev is a musical artist and composer known for creating the soundtrack for the film "Metro."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artem Vasiliev Target entity description: Artem Vasiliev is a musical artist and composer known for creating the soundtrack for the film "Metro."
-
A.
Evgeny Artyukhin
Evgeny Artyukhin is a Russian professional ice hockey forward known for his size, physical style of play, and seasons in the NHL and KHL.
-
B.
Sergei Belov
Sergei Belov was a legendary Soviet and Russian basketball player widely regarded as one of the greatest European guards in history.
-
C.
Andrei Voronkov
Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
-
D.
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.
-
E.
Alexey Gornostaev
Alexey Gornostaev was a 19th-century Russian architect known for his influential work in the Russian Revival style.
- 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_69ffa11c81f481909129eef69e47d079 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 8, 2026, 9:29 p.m.