Triple
T31342020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. W. Milam |
E799329
|
entity |
| Predicate | raceRelatedViolence |
P148347
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [J. W. Milam, raceRelatedViolence, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceRelatedViolence Context triple: [J. W. Milam, raceRelatedViolence, yes]
-
A.
causeOfViolence
Indicates that one entity is the reason, trigger, or source leading to the occurrence of violence involving another entity.
-
B.
violenceLedTo
Indicates that an act or state of violence caused or directly resulted in a subsequent event, condition, or outcome.
-
C.
typeOfViolenceAddressed
chosen
Indicates the specific form or category of violence that is being targeted, dealt with, or addressed in a given context.
-
D.
timeOfMassViolence
Indicates the specific time at which an act or event of mass violence occurred.
-
E.
violenceLevel
Indicates the degree or intensity of violent behavior, actions, or content present in or associated with an entity.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f143eb0819085b3b7f77faa8273 |
completed | May 3, 2026, 1:04 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:17 p.m.