Triple
T25918946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio Disney Music Award for Best Song to Dance To |
E653112
|
entity |
| Predicate | musicIndustrySegment |
P163037
|
FINISHED |
| Object | teen pop |
—
|
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: teen pop | Statement: [Radio Disney Music Award for Best Song to Dance To, musicIndustrySegment, teen pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicIndustrySegment Context triple: [Radio Disney Music Award for Best Song to Dance To, musicIndustrySegment, teen pop]
-
A.
musicIndustry
Indicates a relationship or involvement between entities within the business, production, distribution, or promotion aspects of music.
-
B.
recordIndustryCategory
Indicates the industry classification or sector under which an entity’s business activities are recorded.
-
C.
primaryMusicIndustry
Indicates that the entity’s main or most significant involvement or role is within the music industry.
-
D.
musicIndustryRole
Indicates the professional function or position an entity holds within the music industry ecosystem.
-
E.
musicIndustryRecognition
Indicates formal acknowledgment or acclaim an entity receives from organizations, institutions, or authorities within the music industry.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 22, 2026, 8:31 a.m.