Triple
T8900727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasia on Greensleeves |
E211921
|
entity |
| Predicate | typicalProgrammingContext |
P85136
|
FINISHED |
| Object | English pastoral music programs |
—
|
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: English pastoral music programs | Statement: [Fantasia on Greensleeves, typicalProgrammingContext, English pastoral music programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProgrammingContext Context triple: [Fantasia on Greensleeves, typicalProgrammingContext, English pastoral music programs]
-
A.
typicalProgrammingSource
Indicates that one entity is a common or standard source from which the other entity obtains programming content or code.
-
B.
commonProgramming
Indicates that two or more entities share knowledge of, use, or are associated with the same programming language(s) or programming-related practices.
-
C.
programming
Indicates that an entity writes, develops, or modifies software or code, typically using a programming language to create or control computer programs.
-
D.
treatsProgrammingAs
Indicates viewing or regarding programming in a particular way, such as as a hobby, a job, an art, or a tool.
-
E.
programmingLanguage
Indicates that one entity is a programming language used to create, control, or interact with the other entity.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6428ffc48190814f6b865961dbd1 |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cffe8ec819084c12770fe0578f2 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:54 p.m.