Triple
T35917077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Focus WRC |
E1038776
|
entity |
| Predicate | firstWRCWinCoDriver |
P206107
|
FINISHED |
| Object | Nicky Grist |
E956123
|
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: Nicky Grist | Statement: [Ford Focus WRC, firstWRCWinCoDriver, Nicky Grist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWRCWinCoDriver Context triple: [Ford Focus WRC, firstWRCWinCoDriver, Nicky Grist]
-
A.
firstWRCWin
Indicates the event or instance in which an entity achieves its first victory in a World Rally Championship (WRC) competition.
-
B.
ageAtFirstWRCWin
Indicates the age a person was when they achieved their first World Rally Championship (WRC) event victory.
-
C.
firstWRCSeason
Indicates the World Rally Championship season in which an entity (typically a driver or team) made its first competitive appearance.
-
D.
firstWRCSeasonAppearance
Indicates the season in which an entity made its first competitive appearance in the World Rally Championship (WRC).
-
E.
becameYoungestWRCEventWinner
Indicates that an entity achieved the status of being the youngest person ever to win a World Rally Championship (WRC) event.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38ae3168d081908a7224fb590d66f5 |
completed | June 22, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:07 p.m.