Triple
T36852462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Winter |
E910707
|
entity |
| Predicate | hasMatureContent |
P47549
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cold Winter, hasMatureContent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMatureContent Context triple: [Cold Winter, hasMatureContent, true]
-
A.
containsAdultContent
chosen
Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
-
B.
hasContentRating
Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
-
C.
hasAdultRank
Indicates that an entity holds a status or position classified as an adult-level rank within a given system or hierarchy.
-
D.
hasMaturity
Indicates that an entity possesses a specified level, state, or stage of development or maturity.
-
E.
hasAdultPortrayalAgeRange
Indicates that there is a specified range of ages during which an entity is portrayed as an adult.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a03544239d4819087b6c232d6804977 |
completed | May 12, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_6a0353d685688190b01df77fc2f62bf2 |
completed | May 12, 2026, 4:22 p.m. |
Created at: May 3, 2026, 4:13 p.m.