Triple

T11705103
Position Surface form Disambiguated ID Type / Status
Subject ESRB E10+ E278218 entity
Predicate ratingAuthority P8710 FINISHED
Object Entertainment Software Rating Board E374451 NE FINISHED

How this triple was built (3 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: Entertainment Software Rating Board | Statement: [ESRB E10+, ratingAuthority, Entertainment Software Rating Board]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entertainment Software Rating Board
Context triple: [ESRB E10+, ratingAuthority, Entertainment Software Rating Board]
  • A. ESRB chosen
    The ESRB (Entertainment Software Rating Board) is a North American organization that assigns age and content ratings to video games and other interactive media.
  • B. ESRB
    ESRB is the European Union’s macroprudential oversight body responsible for monitoring and assessing systemic risks to the stability of the EU financial system.
  • C. CERO
    CERO is Japan’s official video game content rating organization that classifies games by age suitability and content.
  • D. PEGI
    PEGI is a European video game content rating system that classifies games by age suitability and content descriptors to inform consumers and protect minors.
  • E. MPAA film rating system
    The MPAA film rating system is a standardized classification scheme used in the United States to inform audiences—especially parents—about the suitability of films for different age groups based on their content.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ratingAuthority
Context triple: [ESRB E10+, ratingAuthority, Entertainment Software Rating Board]
  • A. ratingContext
    Indicates the situational or contextual factors under which a rating is given or applies.
  • B. rating chosen
    Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another entity.
  • C. ratingSystem
    Indicates a system or method used to assign evaluative scores or rankings to items, actions, or entities based on defined criteria.
  • D. ratingCategory
    Indicates the qualitative classification or level assigned to a rating (e.g., low, medium, high) within an evaluation or scoring system.
  • E. ratingDescription
    Indicates the textual explanation or qualitative summary associated with a given rating or score.
  • F. None of above.

Provenance (4 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f59c6108190a9c4c7b17c2fb401 completed May 1, 2026, 5:51 a.m.
PD Predicate disambiguation batch_69d88a7b30948190b616a9db5c5488d5 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.