Triple
T21873111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time and a Word |
E540056
|
entity |
| Predicate | usesOrchestraOnMostTracks |
P35077
|
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: [Time and a Word, usesOrchestraOnMostTracks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesOrchestraOnMostTracks Context triple: [Time and a Word, usesOrchestraOnMostTracks, true]
-
A.
hasSymphonyOrchestra
Indicates that an entity possesses, hosts, or is associated with a symphony orchestra.
-
B.
hasOrchestralFeature
chosen
Indicates that something includes, exhibits, or is characterized by a notable orchestral element or component.
-
C.
hasOrchestraType
Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
-
D.
performedWithOrchestra
Indicates that a performance or musical work was carried out in collaboration with an orchestra.
-
E.
orchestrationIncludes
Indicates that one orchestration contains, incorporates, or makes use of another orchestration as part of its overall structure or process.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f337ab5c8190937a457d348c732b |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:01 p.m.