Triple
T23521965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany vs Hungary (UEFA Euro 2020 Group F) |
E574531
|
entity |
| Predicate | referee |
P268
|
FINISHED |
| Object |
Sergei Karasev
Sergei Karasev is a Russian professional football referee who has officiated at major international tournaments, including UEFA Euro 2020.
|
E2290698
|
NE FINISHED |
How this triple was built (2 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: Sergei Karasev | Statement: [Germany vs Hungary (UEFA Euro 2020 Group F), referee, Sergei Karasev]
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: Sergei Karasev Triple: [Germany vs Hungary (UEFA Euro 2020 Group F), referee, Sergei Karasev]
Generated description
Sergei Karasev is a Russian professional football referee who has officiated at major international tournaments, including UEFA Euro 2020.
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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa873ad48190a86807bd4f26df82 |
completed | April 29, 2026, 6:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a5bf2858d1c8190a013d105dffa36ef |
completed | July 18, 2026, 9:39 p.m. |
| NEDg | Description generation | batch_6a5bf342e86c81908edd4ad2971efe28 |
completed | July 18, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a5bf39c467c819088d0232e2e7440ed |
completed | July 18, 2026, 9:43 p.m. |
Created at: April 17, 2026, 6:08 p.m.