Triple

T30988842
Position Surface form Disambiguated ID Type / Status
Subject Crown International Pictures E789609 entity
Predicate contentRatingTendency P47549 FINISHED
Object adult-oriented material 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: adult-oriented material | Statement: [Crown International Pictures, contentRatingTendency, adult-oriented material]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contentRatingTendency
Context triple: [Crown International Pictures, contentRatingTendency, adult-oriented material]
  • A. hasContentRating
    Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
  • B. ageRatingControversy
    Indicates that there is a dispute, concern, or notable issue regarding the appropriateness or assignment of an age rating for something.
  • C. ageRatingContext
    Indicates the contextual basis or circumstances (such as region, system, or criteria) under which an age rating is assigned or interpreted.
  • D. ratedFor
    Indicates that an entity has been evaluated and assigned a suitability or quality level for a particular purpose, context, or audience.
  • E. containsAdultContent chosen
    Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted 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_69f224c550b081909ddfceb0c3d03bdd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f73ae120bc8190bff94d38d7a7a00d completed May 3, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69f73a38d0848190aa5139144b8561c6 completed May 3, 2026, 12:06 p.m.
Created at: April 29, 2026, 8:56 p.m.