Triple
T25015664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Neil Bonnett |
E626122
|
entity |
| Predicate | diedWhileCompetingIn |
P11793
|
FINISHED |
| Object | NASCAR practice session |
—
|
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: NASCAR practice session | Statement: [Lawrence Neil Bonnett, diedWhileCompetingIn, NASCAR practice session]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diedWhileCompetingIn Context triple: [Lawrence Neil Bonnett, diedWhileCompetingIn, NASCAR practice session]
-
A.
diedWhile
chosen
Indicates that one entity ceased to live during the occurrence or performance of another specified event or activity.
-
B.
diedAs
Indicates that an entity ceased to live in a particular role, state, or identity.
-
C.
diedAfter
Indicates that one entity’s death occurred later in time than another entity’s death.
-
D.
diesBy
Indicates that one entity causes or is responsible for the death of another entity.
-
E.
diedShortlyBefore
Indicates that one entity’s death occurred a brief time before another specified event or 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.