Triple

T15384877
Position Surface form Disambiguated ID Type / Status
Subject ESRB K-A E367891 entity
Predicate replacedBy P101 FINISHED
Object ESRB E E367873 NE 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: ESRB E | Statement: [ESRB K-A, replacedBy, ESRB E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESRB E
Context triple: [ESRB K-A, replacedBy, ESRB E]
  • A. ESRB E chosen
    ESRB E is the Entertainment Software Rating Board’s “Everyone” rating, indicating that a video game is generally suitable for all ages.
  • B. ESRB E10+
    ESRB E10+ is a video game content rating from the Entertainment Software Rating Board indicating that a game is suitable for players aged 10 and older due to mild or fantasy violence, minimal suggestive themes, or infrequent mild language.
  • C. ESRB K-A
    ESRB K-A was an early Entertainment Software Rating Board category indicating that a video game was suitable for players of all ages, typically children and older.
  • D. 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.
  • E. ESRB
    The ESRB (Entertainment Software Rating Board) is a North American organization that assigns age and content ratings to video games and other interactive media.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7397188190bde42b897ab4b5b4 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1349bad48190a31c50a0c5104128 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.