Triple

T34909025
Position Surface form Disambiguated ID Type / Status
Subject Love in the Time of Hysteria E1006810 entity
Predicate hasAdultContentThemes P47549 FINISHED
Object sexual relationships 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: sexual relationships | Statement: [Love in the Time of Hysteria, hasAdultContentThemes, sexual relationships]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdultContentThemes
Context triple: [Love in the Time of Hysteria, hasAdultContentThemes, sexual relationships]
  • A. containsAdultContent chosen
    Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
  • B. hasProvocativeTheme
    Indicates that something contains themes or content intended to provoke strong emotional, intellectual, or moral reactions.
  • C. hasContentRating
    Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
  • D. hasAdultRank
    Indicates that an entity holds a status or position classified as an adult-level rank within a given system or hierarchy.
  • E. hasAdultPrograms
    Indicates that an entity offers or is associated with programs or services specifically designed for adults.
  • 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_69f76dc1b4a081909b4c6e4d8ec0aa2d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fdbc5ef46c8190bbcfb9798f4615b7 completed May 8, 2026, 10:35 a.m.
PD Predicate disambiguation batch_69fdbb270338819082ce3f73903e884f completed May 8, 2026, 10:29 a.m.
Created at: May 3, 2026, 4 p.m.