Triple
T25015665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Neil Bonnett |
E626122
|
entity |
| Predicate | diedAtCircuit |
P147623
|
FINISHED |
| Object | Daytona International Speedway |
—
|
NE NERFINISHED |
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: Daytona International Speedway | Statement: [Lawrence Neil Bonnett, diedAtCircuit, Daytona International Speedway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diedAtCircuit Context triple: [Lawrence Neil Bonnett, diedAtCircuit, Daytona International Speedway]
-
A.
circuitWhereDied
chosen
Indicates the judicial or administrative circuit in which an entity died.
-
B.
diedWhile
Indicates that one entity ceased to live during the occurrence or performance of another specified event or activity.
-
C.
diedAs
Indicates that an entity ceased to live in a particular role, state, or identity.
-
D.
diedOnJourneyBetween
Indicates that an entity died while traveling between two specified locations or points in a journey.
-
E.
diedAfter
Indicates that one entity’s death occurred later in time than another entity’s death.
- 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_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. |
Created at: April 18, 2026, 6:06 a.m.