Triple
T34784437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisuart und Dariolette |
E1002764
|
entity |
| Predicate | hasRoleInGenreHistory |
P196802
|
FINISHED |
| Object | early example of German Singspiel |
—
|
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: early example of German Singspiel | Statement: [Lisuart und Dariolette, hasRoleInGenreHistory, early example of German Singspiel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInGenreHistory Context triple: [Lisuart und Dariolette, hasRoleInGenreHistory, early example of German Singspiel]
-
A.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
B.
hasGivenGenre
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
-
C.
isInGenreOfArtistCareer
Indicates that an artist’s career belongs to or is categorized within a particular artistic genre.
-
D.
hasTargetGenreCategory
Indicates that something is associated with or classified under a specific target genre category.
-
E.
hasUseGenre
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
| PDg | Predicate description generation | batch_69fe68a385f48190b942700e3eddc9b6 |
completed | May 8, 2026, 10:50 p.m. |
Created at: May 3, 2026, 3:59 p.m.