Triple
T32410324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 shooting of Michael Brown |
E828200
|
entity |
| Predicate | hasMotiveAttributedBySources |
P20391
|
FINISHED |
| Object | disputed |
—
|
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: disputed | Statement: [2014 shooting of Michael Brown, hasMotiveAttributedBySources, disputed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotiveAttributedBySources Context triple: [2014 shooting of Michael Brown, hasMotiveAttributedBySources, disputed]
-
A.
hasMotiveContext
Indicates that there is contextual information explaining the reasons or motivations behind an action, event, or relationship.
-
B.
hasMotiveElement
Indicates that one entity includes, specifies, or is characterized by a particular motive-related component or factor in a broader relationship or action.
-
C.
canBeAttributedTo
Indicates that one entity is the source, cause, or origin to which another entity (such as an effect, work, or responsibility) can be assigned or credited.
-
D.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
E.
questionedAttribution
chosen
Indicates that the correctness or source of an attribution between entities is being challenged or called into doubt.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: May 1, 2026, 12:53 a.m.