Triple
T15384066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESRB E |
E367873
|
entity |
| Predicate | hasLowerAgeCategory |
P109052
|
FINISHED |
| Object | none |
—
|
LITERAL 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: none | Statement: [ESRB E, hasLowerAgeCategory, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerAgeCategory Context triple: [ESRB E, hasLowerAgeCategory, none]
-
A.
hasLowerAge
Indicates that one entity is younger in age than another entity.
-
B.
hasJuniorAgeCategory
chosen
Indicates that an entity is associated with, or classified under, a junior age category within a given context or system.
-
C.
typicalAgeRangeLower
Indicates the minimum age value that typically marks the lower bound of an expected or common age range for something.
-
D.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
E.
hasJuniorStatus
Indicates that one entity holds a lower, subordinate, or less senior status relative to another entity within a defined hierarchy or context.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.