Triple
T21734552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Dog's in the House |
E536487
|
entity |
| Predicate | hasParentalAdvisoryLabel |
P119209
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Short Dog's in the House, hasParentalAdvisoryLabel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentalAdvisoryLabel Context triple: [Short Dog's in the House, hasParentalAdvisoryLabel, true]
-
A.
hasContentRating
Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
-
B.
hasAgeClassification
Indicates that an entity is associated with a specific age-based category or grouping.
-
C.
hasAdultRank
Indicates that an entity holds a status or position classified as an adult-level rank within a given system or hierarchy.
-
D.
ratedFor
Indicates that an entity has been evaluated and assigned a suitability or quality level for a particular purpose, context, or audience.
-
E.
parentalRating
chosen
Indicates the content advisory classification assigned to a work, specifying the recommended minimum audience age or parental guidance level.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0b0da0819098ef03360eea6a0d |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.