Triple
T20343299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Love of Sunya |
E495797
|
entity |
| Predicate | originalLanguage |
P15
|
FINISHED |
| Object | Silent |
—
|
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: Silent | Statement: [The Love of Sunya, originalLanguage, Silent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silent Context triple: [The Love of Sunya, originalLanguage, Silent]
-
A.
Silent
chosen
Silent film is a type of motion picture produced without synchronized recorded sound, especially spoken dialogue, relying instead on visuals, intertitles, and music to convey its story.
-
B.
Silencio
Silencio is a solo album by French musician Laetitia Sadier, blending atmospheric indie pop with politically and philosophically charged lyrics.
-
C.
Silencio
"Silencio" is a famous tango song performed by legendary Argentine singer Carlos Gardel, known for its melancholic melody and poignant lyrics.
-
D.
Stille
The Stille is a small river in Thuringia, Germany, that flows through the town of Schmalkalden and into the Schmalkalde River.
-
E.
Silence, Please
"Silence, Please" is a humorous science fiction short story by Arthur C. Clarke, featured in his collection *Tales from the White Hart*.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67836b72081908be65115abdb37bf |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.