Triple
T17035683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESRB M |
E413314
|
entity |
| Predicate | comparedTo |
P278
|
FINISHED |
| Object | CERO Z |
E839022
|
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: CERO Z | Statement: [ESRB M, comparedTo, CERO Z]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CERO Z Context triple: [ESRB M, comparedTo, CERO Z]
-
A.
CERO
chosen
CERO is Japan’s official video game content rating organization that classifies games by age suitability and content.
-
B.
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.
-
C.
PEGI 3
PEGI 3 is a Pan-European Game Information age rating indicating that a game is suitable for all age groups, including young children.
-
D.
ESRB E
ESRB E is the Entertainment Software Rating Board’s “Everyone” rating, indicating that a video game is generally suitable for all ages.
-
E.
ESRB T
ESRB T is the Entertainment Software Rating Board’s “Teen” rating, indicating that a video game’s content is generally suitable for players aged 13 and older.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.