Triple
T7137233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | collaboration with George Frideric Handel |
E166337
|
entity |
| Predicate | workCreatedGenre |
P12590
|
FINISHED |
| Object | masque-like pastoral |
—
|
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: masque-like pastoral | Statement: [collaboration with George Frideric Handel, workCreatedGenre, masque-like pastoral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workCreatedGenre Context triple: [collaboration with George Frideric Handel, workCreatedGenre, masque-like pastoral]
-
A.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
-
B.
notableWorkGenre
chosen
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
C.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
-
D.
workedOnGenre
Indicates that an entity (such as a person or organization) has done work related to a particular genre.
-
E.
creativeWorkType
Indicates the specific category or form of a creative work (such as book, movie, painting, or song) that characterizes the relationship.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6939b788190929e92ff481f2ee4 |
completed | March 27, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:45 p.m.