Triple
T32695846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Ramseur |
E836004
|
entity |
| Predicate | numberOfPeopleShotInIncident |
—
|
GENERATED |
| Object | 4 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeopleShotInIncident Context triple: [James Ramseur, numberOfPeopleShotInIncident, 4]
-
A.
numberOfPeopleShot
chosen
Indicates the count of individuals who were shot in a particular event or context.
-
B.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event or action.
-
C.
numberOfGunshotWounds
Indicates the count of gunshot wounds associated with a particular entity or event.
-
D.
typeOfShooting
Indicates the specific kind or category of shooting involved in an event or action.
-
E.
numberOfPeopleReportedKilled
Indicates the reported count of people who have been killed in an incident or event.
- F. None of above.
Provenance (1 batch)
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_69f3493323288190a4e88251035fe96e |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:10 a.m.