Triple
T15383141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Princess Peach |
E367851
|
entity |
| Predicate | ageRatingSystem |
P68296
|
FINISHED |
| Object | PEGI |
E839021
|
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: PEGI | Statement: [Super Princess Peach, ageRatingSystem, PEGI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEGI Context triple: [Super Princess Peach, ageRatingSystem, PEGI]
-
A.
PEGI
chosen
PEGI is a European video game content rating system that classifies games by age suitability and content descriptors to inform consumers and protect minors.
-
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.
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.
-
D.
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.
-
E.
CERO
CERO is Japan’s official video game content rating organization that classifies games by age suitability and content.
- 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_69ff0b5bc43c81908ffdb7819e3660d9 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:19 a.m.