Triple
T15418368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suge Knight |
E369308
|
entity |
| Predicate | incidentContext |
P2919
|
FINISHED |
| Object | 2015 hit-and-run at a film set for Straight Outta Compton |
—
|
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: 2015 hit-and-run at a film set for Straight Outta Compton | Statement: [Suge Knight, incidentContext, 2015 hit-and-run at a film set for Straight Outta Compton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incidentContext Context triple: [Suge Knight, incidentContext, 2015 hit-and-run at a film set for Straight Outta Compton]
-
A.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
B.
incidentCharacterization
Indicates how an incident is classified or characterized in terms of its nature, attributes, or type.
-
C.
context
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
D.
contextOf
chosen
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
E.
attackContext
Indicates the situational circumstances, conditions, or factors surrounding an attack event or action.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.