Triple

T29085607
Position Surface form Disambiguated ID Type / Status
Subject Spitfire E734103 entity
Predicate hasMatureThemes 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: [Spitfire, hasMatureThemes, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMatureThemes
Context triple: [Spitfire, hasMatureThemes, 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. hasMaturity
    Indicates that an entity possesses a specified level, state, or stage of development or maturity.
  • C. hasProvocativeTheme
    Indicates that something contains themes or content intended to provoke strong emotional, intellectual, or moral reactions.
  • D. hasAdultRank
    Indicates that an entity holds a status or position classified as an adult-level rank within a given system or hierarchy.
  • E. hasContentRating
    Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
  • 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_69f05b0c0f28819086eae6e84f2ae472 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69ff0e9c75208190a4423261f00b79b3 completed May 9, 2026, 10:38 a.m.
PD Predicate disambiguation batch_69ff0e07f08481909c4ae322632a6bf0 completed May 9, 2026, 10:35 a.m.
Created at: April 28, 2026, 11 a.m.