Triple
T34363655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fallin’ All in You |
E881948
|
entity |
| Predicate | featuresMelodicSensibilityOf |
P102134
|
FINISHED |
| Object | Teddy Geiger |
E252747
|
NE 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: Teddy Geiger | Statement: [Fallin’ All in You, featuresMelodicSensibilityOf, Teddy Geiger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMelodicSensibilityOf Context triple: [Fallin’ All in You, featuresMelodicSensibilityOf, Teddy Geiger]
-
A.
featuresMelodicStorytelling
Indicates that something includes or is characterized by a narrative conveyed primarily through melody, where musical phrases tell or enhance a story.
-
B.
isMelodic
chosen
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
C.
featuresRichHarmonies
Indicates that the subject contains or employs complex, layered, and sonically dense harmonic structures.
-
D.
hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
-
E.
featuresCounterMelody
Indicates that the subject includes or incorporates a secondary melodic line that complements and contrasts with the main melody.
- F. None of above.
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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0317eaf4e88190a6f6419cb4ef7547 |
completed | May 12, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38dde459408190b102185449d10a35 |
completed | June 22, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_6a03179da394819095e3d346c3785d74 |
completed | May 12, 2026, 12:05 p.m. |
Created at: May 1, 2026, 1:58 a.m.