Triple
T9679150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fix You |
E234237
|
entity |
| Predicate | hasMusicalClimax |
P46055
|
FINISHED |
| Object | uplifting sing-along coda |
—
|
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: uplifting sing-along coda | Statement: [Fix You, hasMusicalClimax, uplifting sing-along coda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalClimax Context triple: [Fix You, hasMusicalClimax, uplifting sing-along coda]
-
A.
hasClimaxAt
chosen
Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
-
B.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
hasCadenza
Indicates that a musical work, passage, or performance includes or is associated with a cadenza section.
-
D.
hasFinaleMovement
Indicates that one entity (typically a musical work or performance) includes another entity as its concluding or final movement.
-
E.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9c586c8190abc0ab1771bf6c5c |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:16 p.m.