Triple
T26461929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendon Hartley |
E665660
|
entity |
| Predicate | formerTeamInFormulaOne |
P15460
|
FINISHED |
| Object | Scuderia Toro Rosso |
—
|
NE NERFINISHED |
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: Scuderia Toro Rosso | Statement: [Brendon Hartley, formerTeamInFormulaOne, Scuderia Toro Rosso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerTeamInFormulaOne Context triple: [Brendon Hartley, formerTeamInFormulaOne, Scuderia Toro Rosso]
-
A.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
-
B.
formerTeam2Name
Indicates that an entity was previously associated with a second former team identified by this name.
-
C.
racingTeam
Indicates that one entity is a racing team associated with, employing, or represented by the other entity in a competitive racing context.
-
D.
hasFormerTeam
chosen
Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
-
E.
lastF1Team
Indicates the Formula 1 team for which an entity most recently competed or was last associated.
- F. None of above.
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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 27, 2026, 12:13 a.m.