Triple
T18222117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ggplot2 |
E436330
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Shiny |
—
|
NE NERFINISHED |
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: Shiny | Statement: [ggplot2, compatibleWith, Shiny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiny Context triple: [ggplot2, compatibleWith, Shiny]
-
A.
Shiny
chosen
Shiny is a Posit PBC software framework for building interactive web applications directly from R.
-
B.
Shiny
"Shiny" is a flamboyant villain song from Disney's animated film *Moana*, performed by the giant crab Tamatoa as he boasts about his love of all things glittery and reflective.
-
C.
Shiny Four
Shiny Four is the nickname of No. 4 Squadron of the Royal Air Force, a long-established British military aviation unit known for its reconnaissance and fighter roles.
-
D.
Shiny Six
Shiny Six is the informal nickname of No. 6 Squadron of the Royal Air Force, a long-serving British military aviation unit.
-
E.
Something Shines
"Something Shines" is a solo studio album by French musician Laetitia Sadier, known for its atmospheric blend of avant-pop, indie, and politically tinged lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.