Triple
T32806028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEGI |
E839021
|
entity |
| Predicate | hasContentDescriptor |
P130758
|
FINISHED |
| Object | violence |
—
|
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: violence | Statement: [PEGI, hasContentDescriptor, violence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContentDescriptor Context triple: [PEGI, hasContentDescriptor, violence]
-
A.
contentDescriptor
chosen
Indicates that something provides a description or characterization of the content of another entity (such as a resource, item, or work).
-
B.
hasCriticalDescriptor
Indicates that an entity is associated with a descriptor that marks it as critical, essential, or of high importance or severity.
-
C.
hasContentFrom
Indicates that one entity’s content is derived from, includes, or is based on another entity.
-
D.
hasSizeDescriptor
Indicates that an entity is associated with a qualitative description of its size (e.g., small, large, huge).
-
E.
hasContentSummary
Indicates that an entity is associated with a brief descriptive summary of its content.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:15 a.m.