Triple
T32557717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 94th Academy Awards |
E832135
|
entity |
| Predicate | incidentDescription |
P174921
|
FINISHED |
| Object | Will Smith slapped Chris Rock onstage after a joke about Jada Pinkett Smith |
—
|
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: Will Smith slapped Chris Rock onstage after a joke about Jada Pinkett Smith | Statement: [94th Academy Awards, incidentDescription, Will Smith slapped Chris Rock onstage after a joke about Jada Pinkett Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incidentDescription Context triple: [94th Academy Awards, incidentDescription, Will Smith slapped Chris Rock onstage after a joke about Jada Pinkett Smith]
-
A.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
B.
incidentName
Indicates the specific name or label assigned to an incident within a system or context.
-
C.
incidentCharacterization
Indicates how an incident is classified or characterized in terms of its nature, attributes, or type.
-
D.
commonIncidentType
Indicates that multiple entities share the same category or type of incident.
-
E.
accident
Indicates an unintended, unforeseen event or mishap occurring, often resulting in damage, injury, or disruption.
- F. None of above. chosen
Provenance (4 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1:03 a.m.