Triple
T36116077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Davidson |
E1044616
|
entity |
| Predicate | WECSeasonTitleYear |
P184697
|
FINISHED |
| Object | 2014 |
—
|
LITERAL 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: 2014 | Statement: [Anthony Davidson, WECSeasonTitleYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WECSeasonTitleYear Context triple: [Anthony Davidson, WECSeasonTitleYear, 2014]
-
A.
WECDebutYear
Indicates the year in which an entity made its debut or first appearance in World Extreme Cagefighting (WEC).
-
B.
GrandPrixTitle
Indicates that an entity has won a championship or overall title in a Grand Prix competition or series.
-
C.
lastWRCSeason
Indicates the most recent World Rally Championship season in which the subject participated or was active.
-
D.
lastFormulaOneSeason
Indicates the specific Formula One racing season in which an entity most recently participated or was active.
-
E.
lastFormulaOneGrandPrixYear
Indicates the year in which the most recent Formula One Grand Prix involving the given entity took place.
- 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.