Triple
T36119884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda Racing F1 Team |
E1044713
|
entity |
| Predicate | notableRaceWinDriver |
P204746
|
FINISHED |
| Object | Jenson Button |
E1342774
|
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: Jenson Button | Statement: [Honda Racing F1 Team, notableRaceWinDriver, Jenson Button]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRaceWinDriver Context triple: [Honda Racing F1 Team, notableRaceWinDriver, Jenson Button]
-
A.
notableFormerDriver
Indicates that a person was previously a prominent or distinguished driver for the referenced entity (such as a team, organization, or company).
-
B.
notableRaceEngineer
Indicates that the person is recognized as a significant or distinguished engineer in the context of racing or motorsport.
-
C.
racingDriver
Indicates that one entity is a racing driver, i.e., a person who competes in motor races as a driver.
-
D.
driversChampionshipWin
Indicates that a driver has won the overall drivers’ championship title in a given racing series or season.
-
E.
grandPrixWin
Indicates that an entity has achieved victory in a Grand Prix event or race.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a394d223d408190b81a4b5200e97ca1 |
completed | June 22, 2026, 2:56 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.