Triple
T38389166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out of Doors |
E899660
|
entity |
| Predicate | movementNumberOf "Barcarolla" |
P192542
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Out of Doors, movementNumberOf "Barcarolla", 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementNumberOf "Barcarolla" Context triple: [Out of Doors, movementNumberOf "Barcarolla", 2]
-
A.
numberOfDances
Indicates the quantity or count of dances associated with a given entity or event.
-
B.
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.
-
C.
featuresDanceNumber
Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
-
D.
containsDanceNumber
Indicates that something (such as a work, performance, or production) includes at least one distinct dance sequence or dance number as part of its content.
-
E.
movementCountPerQuartet
Indicates the number of individual movements contained within a single quartet.
- 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_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: May 3, 2026, 4:31 p.m.