Triple
T20879219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Enemy No. 1 (FBI label for John Dillinger) |
E514098
|
entity |
| Predicate | appliedToPersonDeathCause |
P144
|
FINISHED |
| Object | gunshot wounds inflicted by law enforcement |
—
|
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: gunshot wounds inflicted by law enforcement | Statement: [Public Enemy No. 1 (FBI label for John Dillinger), appliedToPersonDeathCause, gunshot wounds inflicted by law enforcement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToPersonDeathCause Context triple: [Public Enemy No. 1 (FBI label for John Dillinger), appliedToPersonDeathCause, gunshot wounds inflicted by law enforcement]
-
A.
associatedWithDeathOf
Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
-
B.
causeOfDeath
chosen
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
C.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
D.
hasSubjectDeathEvent
Indicates that an entity is associated with an event representing the death of its subject.
-
E.
evidenceForImpliedDeath
Indicates that something serves as supporting evidence for the conclusion that a death has occurred, even if the death itself is not directly observed or explicitly stated.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c678b394819096a17de9e04cd74f |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.