Triple
T5362085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartoonito |
E103044
|
entity |
| Predicate | hasRatingFocus |
P63024
|
FINISHED |
| Object | TV-Y |
—
|
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: TV-Y | Statement: [Cartoonito, hasRatingFocus, TV-Y]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRatingFocus Context triple: [Cartoonito, hasRatingFocus, TV-Y]
-
A.
hasRatingLevel
Indicates that an entity is associated with a particular rating level or score category.
-
B.
hasRankingFactor
Indicates that one entity contributes as a factor to determining the ranking or ordered position of another entity.
-
C.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
D.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
E.
hasHighRatingOn
Indicates that one entity is evaluated or reviewed on another entity’s platform or system with a rating that meets or exceeds a defined high threshold.
- F. None of above. chosen
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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865a0bb081909579cfe7c7974075 |
completed | March 20, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85731dcc8190b4c1fe155967ab81 |
completed | March 20, 2026, 5:35 p.m. |
Created at: March 20, 2026, 2:02 p.m.