Triple
T22870503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Materna |
E567177
|
entity |
| Predicate | isStandardTuneFor |
P115911
|
FINISHED |
| Object | most modern versions of "America the Beautiful" |
—
|
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: most modern versions of "America the Beautiful" | Statement: [Materna, isStandardTuneFor, most modern versions of "America the Beautiful"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStandardTuneFor Context triple: [Materna, isStandardTuneFor, most modern versions of "America the Beautiful"]
-
A.
isPopularMusicStandard
Indicates that a piece of music is widely recognized, frequently performed, and accepted as part of the standard popular music repertoire.
-
B.
isTunedTo
Indicates that one entity has been adjusted or configured to operate at, receive, or correspond to the frequency, channel, or setting of another entity.
-
C.
hasTuningDivision
Indicates that one entity specifies or uses a particular system or scheme for dividing a range (such as a musical interval or scale) into tuning units.
-
D.
tunedOrUntuned
Indicates whether something is in a properly adjusted or calibrated state (tuned) or not (untuned).
-
E.
commonlySetToTune
chosen
Indicates that something is frequently assigned or adjusted to a particular tune or musical setting.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f04b06481909004818ec8fc5a26 |
completed | April 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:38 p.m.