Triple
T22718776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels, ever bright and fair |
E561803
|
entity |
| Predicate | eraOfCompositionContext |
P136792
|
FINISHED |
| Object | mid-18th century |
—
|
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: mid-18th century | Statement: [Angels, ever bright and fair, eraOfCompositionContext, mid-18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfCompositionContext Context triple: [Angels, ever bright and fair, eraOfCompositionContext, mid-18th century]
-
A.
contextOfComposition
chosen
Indicates the situational, cultural, or environmental circumstances in which a composition or work was created.
-
B.
eraOfCompilation
Indicates the historical time period during which something (such as a text, dataset, or work) was compiled or put together.
-
C.
eraOfCompositionOfSources
Indicates the historical time period during which the referenced sources were originally composed.
-
D.
eraOfCurrentStructure
Indicates the historical period or era during which the current form or configuration of the structure was established.
-
E.
associatedWithComposerEra
Indicates a relationship where a composer is linked to a particular historical musical era or stylistic period.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790fbf9c819082ba7b48801a7b39 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:19 p.m.