Triple
T3044895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikita |
E83420
|
entity |
| Predicate | isUsedBy |
P1480
|
FINISHED |
| Object |
Nikita Mazepin
Nikita Mazepin is a Russian racing driver best known for his stint in Formula One with the Haas F1 Team.
|
E320065
|
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: Nikita Mazepin | Statement: [Nikita, isUsedBy, Nikita Mazepin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikita Mazepin Context triple: [Nikita, isUsedBy, Nikita Mazepin]
-
A.
Billy Magnussen
Billy Magnussen is an American actor known for his work in film, television, and theater, often playing energetic or offbeat supporting roles in both comedies and dramas.
-
B.
George Russell
George Russell was a British aristocrat and member of the prominent Russell family in the 19th century.
-
C.
Michael Aaglund
Michael Aaglund is a film producer known for his work on the Danish Western thriller "The Salvation."
-
D.
Josef Newgarden
Josef Newgarden is an American racing driver and multiple NTT IndyCar Series champion known for his success with Team Penske.
-
E.
Orlando da Costa
Orlando da Costa was a Portuguese writer and intellectual known for his literary works reflecting colonial and postcolonial themes, and as the father of Portuguese Prime Minister António Costa.
- 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: Nikita Mazepin Triple: [Nikita, isUsedBy, Nikita Mazepin]
Generated description
Nikita Mazepin is a Russian racing driver best known for his stint in Formula One with the Haas F1 Team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikita Mazepin Target entity description: Nikita Mazepin is a Russian racing driver best known for his stint in Formula One with the Haas F1 Team.
-
A.
Billy Magnussen
Billy Magnussen is an American actor known for his work in film, television, and theater, often playing energetic or offbeat supporting roles in both comedies and dramas.
-
B.
George Russell
George Russell was a British aristocrat and member of the prominent Russell family in the 19th century.
-
C.
Michael Aaglund
Michael Aaglund is a film producer known for his work on the Danish Western thriller "The Salvation."
-
D.
Josef Newgarden
Josef Newgarden is an American racing driver and multiple NTT IndyCar Series champion known for his success with Team Penske.
-
E.
Orlando da Costa
Orlando da Costa was a Portuguese writer and intellectual known for his literary works reflecting colonial and postcolonial themes, and as the father of Portuguese Prime Minister António Costa.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b602ed881909a72662eb544866b |
completed | March 8, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ded4d0d48190b2796bd980cb5326 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df4acf2881908e969fe0512721bc |
completed | March 11, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1dff55d5881909b14239a4232e617 |
completed | March 11, 2026, 9:34 p.m. |
Created at: March 8, 2026, 3:01 p.m.