Triple
T35812352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Slap |
E1035264
|
entity |
| Predicate | centralIncident |
P195517
|
FINISHED |
| Object | A man slaps a misbehaving child at a barbecue. |
—
|
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: A man slaps a misbehaving child at a barbecue. | Statement: [The Slap, centralIncident, A man slaps a misbehaving child at a barbecue.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralIncident Context triple: [The Slap, centralIncident, A man slaps a misbehaving child at a barbecue.]
-
A.
incidentWith
Indicates that one entity is involved in, affected by, or associated with a particular incident or event together with another entity.
-
B.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
C.
commonIncidentType
Indicates that multiple entities share the same category or type of incident.
-
D.
incidentName
Indicates the specific name or label assigned to an incident within a system or context.
-
E.
stateOfIncident
Indicates the specific condition or status that an incident is currently in within its lifecycle.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69fdd5faea908190a17d77e050362ef5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:06 p.m.