Triple
T36116106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan McNish |
E1044617
|
entity |
| Predicate | F1TeamsDroveFor |
P184698
|
FINISHED |
| Object | Toyota |
—
|
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: Toyota | Statement: [Allan McNish, F1TeamsDroveFor, Toyota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1TeamsDroveFor Context triple: [Allan McNish, F1TeamsDroveFor, Toyota]
-
A.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
-
B.
racingTeam
Indicates that one entity is a racing team associated with, employing, or represented by the other entity in a competitive racing context.
-
C.
championTeamDrivers
Indicates that the specified drivers were the official championship-winning drivers for the given team in a particular competition or season.
-
D.
lastF1Team
Indicates the Formula 1 team for which an entity most recently competed or was last associated.
-
E.
WECDebutYear
Indicates the year in which an entity made its debut or first appearance in World Extreme Cagefighting (WEC).
- F. None of above. chosen
Provenance (4 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.