Triple
T18830879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smile (song) |
E460523
|
entity |
| Predicate | hasRadioFriendlyMelody |
P112462
|
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: [Smile (song), hasRadioFriendlyMelody, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadioFriendlyMelody Context triple: [Smile (song), hasRadioFriendlyMelody, true]
-
A.
isRadioFriendly
chosen
Indicates that something (typically a song, track, or audio content) is suitable for broadcast on mainstream radio, usually by meeting content, length, and formatting standards.
-
B.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
C.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
-
D.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
E.
isRadioHit
Indicates that a song or track has achieved significant popularity and frequent airplay on radio stations.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9992bb081908ba517a5c9d93ef3 |
completed | April 20, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.