Triple

T29341747
Position Surface form Disambiguated ID Type / Status
Subject Soldier of Fortune E744053 entity
Predicate BBFCrating P3533 FINISHED
Object 18 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: 18 | Statement: [Soldier of Fortune, BBFCrating, 18]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: BBFCrating
Context triple: [Soldier of Fortune, BBFCrating, 18]
  • A. bbfcRatingUK chosen
    Indicates the film or media content rating assigned by the British Board of Film Classification (BBFC) in the United Kingdom.
  • B. USRating
    Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
  • C. mpaaRating
    Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
  • D. PEGIRating
    Indicates the creditworthiness assessment assigned by the PEGI rating system, reflecting the level of financial risk associated with an entity.
  • E. ratedFor
    Indicates that an entity has been evaluated and assigned a suitability or quality level for a particular purpose, context, or audience.
  • 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_69f09126cfcc8190899b16fbf3c2bf7b completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66926e7a48190a1b580fd9fe67c31 completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f660f4f7a88190b93c60d76b86c912 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 1:34 p.m.