Triple
T13410197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikita Mazepin |
E320065
|
entity |
| Predicate | madeF1DebutWithTeam |
P52116
|
FINISHED |
| Object | Haas F1 Team |
E200089
|
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: Haas F1 Team | Statement: [Nikita Mazepin, madeF1DebutWithTeam, Haas F1 Team]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haas F1 Team Context triple: [Nikita Mazepin, madeF1DebutWithTeam, Haas F1 Team]
-
A.
Haas F1 Team
chosen
Haas F1 Team is an American-owned Formula One racing team that competes in the FIA Formula One World Championship.
-
B.
Alpine F1 Team
Alpine F1 Team is a French Formula One constructor and works team competing in the FIA Formula One World Championship as the sporting brand of Renault.
-
C.
Scuderia AlphaTauri
Scuderia AlphaTauri is an Italian Formula One racing team that serves as Red Bull’s junior outfit, developing young drivers and talent for the main Red Bull Racing squad.
-
D.
Red Bull Racing
Red Bull Racing is a leading Formula One team known for its multiple World Championships, innovative car design, and high-profile drivers.
-
E.
Haas
Haas is a German-origin surname borne by numerous individuals worldwide, including several notable figures in fields such as sports, science, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7461d27948190a5ca9136e27fdd62 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:35 p.m.