Triple
T22058857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Carl Allison |
E545096
|
entity |
| Predicate | bestCupSeasonFinish |
P143162
|
FINISHED |
| Object | 3rd 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: 3rd place | Statement: [David Carl Allison, bestCupSeasonFinish, 3rd place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestCupSeasonFinish Context triple: [David Carl Allison, bestCupSeasonFinish, 3rd place]
-
A.
bestCupSeasonPointsYear
Indicates the year in which an entity achieved its highest total of Cup season points.
-
B.
bestLeagueFinish
Indicates the highest final position or ranking an entity has ever achieved in a particular league or competition.
-
C.
bestCupSeriesPointsPosition
chosen
Indicates the highest (best) overall points-based finishing position an entity has achieved in a Cup series standings or championship.
-
D.
bestSeasonResultYear
Indicates the year in which an entity achieved its best season result.
-
E.
finalLeaguePosition
Indicates the finishing rank or place an entity achieved in a league or season-long competition.
- F. None of above.
Provenance (3 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285ac9608190ab4f89d4ee7350d0 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.