Triple
T16901773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F major |
E424453
|
entity |
| Predicate | intervalPattern |
P125133
|
FINISHED |
| Object | whole–whole–half–whole–whole–whole–half |
—
|
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: whole–whole–half–whole–whole–whole–half | Statement: [F major, intervalPattern, whole–whole–half–whole–whole–whole–half]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intervalPattern Context triple: [F major, intervalPattern, whole–whole–half–whole–whole–whole–half]
-
A.
intervalAct
Indicates an action or relationship that occurs over, or is defined by, a specific time interval between entities.
-
B.
repetitionPattern
Indicates a recurring structure or sequence in which an action, event, or element is repeated over time or across instances.
-
C.
intervalForm
Indicates that one entity is expressed or represented in the form of a specific interval or range defined by another entity.
-
D.
shiftPattern
Indicates a recurring schedule or arrangement that defines how work or activity shifts are organized over time.
-
E.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8dc7cf08190ad935935d8daf1d0 |
completed | April 18, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:29 a.m.