Triple
T17380535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excuse Me Mr. |
E422554
|
entity |
| Predicate | isSkaInfluenced |
P22766
|
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: [Excuse Me Mr., isSkaInfluenced, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSkaInfluenced Context triple: [Excuse Me Mr., isSkaInfluenced, true]
-
A.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
B.
hasGenreInfluenceOn
chosen
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
C.
isPopularMusic
Indicates that the subject is a type of music that enjoys widespread appeal or mainstream popularity among listeners.
-
D.
influencedInstrument
Indicates that one entity has affected, shaped, or altered a musical instrument or tool in some way, such as its design, use, style, or development.
-
E.
isAcoustic
Indicates that something produces sound using natural resonance or mechanical vibration rather than electronic amplification or synthesis.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8559748190844c506f6f9230d4 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.