Triple

T25987272
Position Surface form Disambiguated ID Type / Status
Subject Shudder E646235 entity
Predicate providesUserFeature P203 FINISHED
Object personalized recommendations 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: personalized recommendations | Statement: [Shudder, providesUserFeature, personalized recommendations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesUserFeature
Context triple: [Shudder, providesUserFeature, personalized recommendations]
  • A. featuresSupporter
    Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
  • B. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • C. userProfileFeatures
    Indicates that certain characteristics, settings, or attributes are associated with and define a user's profile.
  • D. supportsUserServices
    Indicates that one entity provides the necessary functionality or resources for user-facing services to operate or be delivered.
  • E. hasFeatureStatus
    Indicates that an entity possesses a particular feature along with its current state or condition.
  • 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_69e77e881fc08190ba1c8dc7e2a07f97 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f67f0488bc819089fbd2d2478158d3 completed May 2, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69f67e3ed894819094c067c1ef624951 completed May 2, 2026, 10:44 p.m.
Created at: April 22, 2026, 8:55 a.m.