Triple
T34253337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Johnson |
E878804
|
entity |
| Predicate | numberOfWounds |
—
|
GENERATED |
| Object | 21 |
—
|
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: numberOfWounds Context triple: [Henry Johnson, numberOfWounds, 21]
-
A.
hasApproximateNumberOfWounds
Indicates that an entity has a number of wounds that is known only approximately rather than as an exact count.
-
B.
woundedAt
Indicates that an entity was injured or harmed at a specific place or during a particular event.
-
C.
numberOfGunshotWounds
Indicates the count of gunshot wounds associated with a particular entity or event.
-
D.
casualtiesWounded
Indicates that an event or situation resulted in people being injured but not killed.
-
E.
wasWoundedIn
Indicates that an entity sustained an injury as a result of a specified event, situation, or conflict.
- F. None of above. chosen
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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:56 a.m.