Triple
T25015668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Neil Bonnett |
E626122
|
entity |
| Predicate | bestSeasonPointsFinish |
P157542
|
FINISHED |
| Object | 4th place |
—
|
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: 4th place | Statement: [Lawrence Neil Bonnett, bestSeasonPointsFinish, 4th place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestSeasonPointsFinish Context triple: [Lawrence Neil Bonnett, bestSeasonPointsFinish, 4th place]
-
A.
bestLeagueFinish
Indicates the highest final position or ranking an entity has ever achieved in a particular league or competition.
-
B.
bestCupSeasonFinishYear
Indicates the year in which an entity achieved its best (highest) finishing position in a cup competition season.
-
C.
bestCupSeasonPointsYear
Indicates the year in which an entity achieved its highest total of Cup season points.
-
D.
yearOfBestChampionshipFinish
Indicates the specific year in which an entity achieved its highest (best) finishing position in a championship competition.
-
E.
bestSeasonResultYear
Indicates the year in which an entity achieved its best season result.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44ba594a08190beb28ace68e1e120 |
completed | May 1, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:06 a.m.