Triple
T5320869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadrian |
E121667
|
entity |
| Predicate | workNumberInOperaOutputOfComposer |
P32662
|
FINISHED |
| Object | second opera by Rufus Wainwright |
—
|
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: second opera by Rufus Wainwright | Statement: [Hadrian, workNumberInOperaOutputOfComposer, second opera by Rufus Wainwright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNumberInOperaOutputOfComposer Context triple: [Hadrian, workNumberInOperaOutputOfComposer, second opera by Rufus Wainwright]
-
A.
workNumberInComposerOutput
chosen
Indicates that a specific work number appears in the output or catalog produced by a particular composer.
-
B.
partOfComposerOeuvre
Indicates that a musical work belongs to and is included within the overall body of compositions created by a particular composer.
-
C.
associatedOpera
Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
-
D.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
E.
hasMusicalComposer
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.