Triple
T18100129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somewhere in My Memory |
E433191
|
entity |
| Predicate | hasChoralTextTheme |
P7609
|
FINISHED |
| Object | childhood memories |
—
|
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: childhood memories | Statement: [Somewhere in My Memory, hasChoralTextTheme, childhood memories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChoralTextTheme Context triple: [Somewhere in My Memory, hasChoralTextTheme, childhood memories]
-
A.
hasChorusLyricTheme
Indicates that the chorus lyrics of a musical work center around or express a particular theme or subject.
-
B.
hasChorusStyle
Indicates that an entity is associated with a particular style or manner in which a chorus is performed or structured.
-
C.
hasChoralArrangement
Indicates that one entity is a choral arrangement version or setting of another entity (typically an original musical work).
-
D.
hasLyricsTheme
chosen
Indicates that the lyrics of a work primarily concern or revolve around a specified theme or subject.
-
E.
usesChorale
Indicates that one entity incorporates or employs a chorale (a hymn-like musical piece) within its structure or content.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb5e6208190b3c3cce3b95d66ad |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.