Triple
T17097470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camillo |
E414884
|
entity |
| Predicate | genreOfOpera |
P80490
|
FINISHED |
| Object | opera based on Shakespeare |
—
|
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: opera based on Shakespeare | Statement: [Camillo, genreOfOpera, opera based on Shakespeare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfOpera Context triple: [Camillo, genreOfOpera, opera based on Shakespeare]
-
A.
operaGenre
chosen
Indicates that an opera belongs to or is categorized under a particular musical or dramatic genre.
-
B.
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).
-
C.
theatricalGenre
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
-
D.
musicalTheatreType
Indicates the specific category or style of musical theatre to which a work, production, or performance belongs.
-
E.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfe92988190aa066745ca9791d5 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.