Triple
T9372248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Albert/Admiral Halsey |
E225557
|
entity |
| Predicate | hasShiftingMusicalSections |
P88202
|
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: [Uncle Albert/Admiral Halsey, hasShiftingMusicalSections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShiftingMusicalSections Context triple: [Uncle Albert/Admiral Halsey, hasShiftingMusicalSections, true]
-
A.
musicalMovement
Indicates a relationship where one entity is a musical movement or stylistic period associated with, influencing, or characterizing another entity.
-
B.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
C.
hasRhythmSection
Indicates that an entity (such as a musical group or piece) includes or is associated with a rhythm section component.
-
D.
usesChordChangesOf
Indicates that one musical work employs the same or substantially similar chord progression as another work.
-
E.
hasMainRiff
Indicates that one musical piece, section, or track features another musical phrase or pattern as its primary recurring riff.
- F. None of above. chosen
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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50852a388190be936df1382216bc |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:43 p.m.