Triple
T3240929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make Mine Music |
E67963
|
entity |
| Predicate | numberOfSegments |
P620
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Make Mine Music, numberOfSegments, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSegments Context triple: [Make Mine Music, numberOfSegments, 10]
-
A.
hasMultipleSegments
Indicates that the referenced entity is composed of more than one distinct segment or section.
-
B.
maximumNumberOfSegments
Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
-
C.
numberOfFragmentsApprox
Indicates an approximate count of how many fragments or pieces are associated with the subject.
-
D.
numberOfSpans
chosen
Indicates the total count of distinct spans or segments associated with an entity or within a specified context.
-
E.
hasColorSegments
Indicates that an entity is composed of or divided into distinct parts, each associated with a specific color.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.