Triple
T38389168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out of Doors |
E899660
|
entity |
| Predicate | movementNumberOf "The Night’s Music" |
P192696
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Out of Doors, movementNumberOf "The Night’s Music", 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementNumberOf "The Night’s Music" Context triple: [Out of Doors, movementNumberOf "The Night’s Music", 4]
-
A.
movementNumberOf "Barcarolla"
Indicates the specific movement number assigned to the work titled "Barcarolla" within a larger musical composition or collection.
-
B.
movementNumberInOpera
Indicates the specific numbered position that a musical movement occupies within an opera.
-
C.
movementNumberInSymphonyNo4
Indicates the specific movement number that a given movement occupies within Symphony No. 4.
-
D.
typicalMovementCountPerSymphony
Indicates the usual number of movements that a symphony typically contains.
-
E.
movementNumberOf "With Drums and Pipes"
Indicates the specific movement number assigned to the work titled "With Drums and Pipes" within a larger musical composition or set.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: May 3, 2026, 4:31 p.m.