Triple
T15382539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E for Everyone |
E367838
|
entity |
| Predicate | ratingBody |
P37397
|
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: [E for Everyone, ratingBody, Entertainment Software Rating Board]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entertainment Software Rating Board Context triple: [E for Everyone, ratingBody, 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: ratingBody Context triple: [E for Everyone, ratingBody, Entertainment Software Rating Board]
-
A.
ratingContext
Indicates the situational or contextual factors under which a rating is given or applies.
-
B.
rating
Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another entity.
-
C.
ratingDescription
chosen
Indicates the textual explanation or qualitative summary associated with a given rating or score.
-
D.
ratingCategory
Indicates the qualitative classification or level assigned to a rating (e.g., low, medium, high) within an evaluation or scoring system.
-
E.
ratingSystem
Indicates a system or method used to assign evaluative scores or rankings to items, actions, or entities based on defined criteria.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5bc43c81908ffdb7819e3660d9 |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.