Triple
T3667862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Carlin: You Are All Diseased |
E77804
|
entity |
| Predicate | containsContent |
P6841
|
FINISHED |
| Object | strong language |
—
|
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: strong language | Statement: [George Carlin: You Are All Diseased, containsContent, strong language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsContent Context triple: [George Carlin: You Are All Diseased, containsContent, strong language]
-
A.
containsText
chosen
Indicates that one entity includes the specified text string within its content.
-
B.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
C.
hasContentFrom
Indicates that one entity’s content is derived from, includes, or is based on another entity.
-
D.
containsMostOf
Indicates that one entity includes the majority (but not necessarily all) of the substance, elements, or components of another entity.
-
E.
containsFast
Indicates that one entity includes or holds another entity in a way that allows rapid or high-speed access, interaction, or processing.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc402f5dc8190bd8d56a3c06e88f3 |
completed | March 8, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.