Triple
T13403304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Bell |
E319887
|
entity |
| Predicate | startedRacingInDiscipline |
P66169
|
FINISHED |
| Object | midget cars |
—
|
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: midget cars | Statement: [Christopher Bell, startedRacingInDiscipline, midget cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedRacingInDiscipline Context triple: [Christopher Bell, startedRacingInDiscipline, midget cars]
-
A.
startedRacing
chosen
Indicates that an entity began participating in a racing activity or competition, marking the initiation of its involvement in racing.
-
B.
partOfRaceCourseSince
Indicates that an entity has been included as a component or segment of a race course starting from a specified point in time.
-
C.
raceAdded
Indicates that a race event or race-related record has been newly created or incorporated into a system or dataset.
-
D.
raceStartType
Indicates the manner or format in which a race is initiated (e.g., type or method of starting the race).
-
E.
startedRacingAtAge
Indicates that an entity began participating in racing activities at a specified age.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4ae47081909b68a9aaa62fd4c7 |
completed | April 12, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.