Triple
T34095004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Within the Golden Hour |
E874400
|
entity |
| Predicate | hasEnsembleSections |
P193009
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Within the Golden Hour, hasEnsembleSections, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnsembleSections Context triple: [Within the Golden Hour, hasEnsembleSections, yes]
-
A.
hasEnsembles
Indicates that an entity is associated with one or more ensembles, typically as a member, component, or participant.
-
B.
hasEnsembleNumbers
Indicates that an entity is associated with one or more ensemble numbers used to identify it within a grouped or collective context.
-
C.
hasExtendedInstrumentalSections
Indicates that a musical work contains notably long instrumental passages beyond typical song structure.
-
D.
hasCollectionSection
Indicates that an entity includes or is organized into a specific section within a larger collection.
-
E.
hasSingleTrackSections
Indicates that a route or railway line includes sections where only a single track is available for traffic.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: May 1, 2026, 1:52 a.m.