Triple
T10006465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silence Is Sincere |
E198258
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Silence Is Sincere |
E198258
|
NE 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: Silence Is Sincere | Statement: [Silence Is Sincere, hasTitle, Silence Is Sincere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silence Is Sincere Context triple: [Silence Is Sincere, hasTitle, Silence Is Sincere]
-
A.
Silence Is Sincere
chosen
"Silence Is Sincere" is a song featured on the album *Heigh Ho* by American singer-songwriter Blake Mills.
-
B.
Silence, Please
"Silence, Please" is a humorous science fiction short story by Arthur C. Clarke, featured in his collection *Tales from the White Hart*.
-
C.
Admiring Silence
Admiring Silence is a novel by Nobel Prize–winning author Abdulrazak Gurnah that explores themes of exile, identity, and cultural dislocation through the experiences of a Zanzibari man living in England.
-
D.
Silence the Voices
"Silence the Voices" is a song featured on the album "Carry On."
-
E.
Broken Silence
Broken Silence is the third studio album by American rapper Foxy Brown, known for its hardcore hip-hop sound and the hit single "Oh Yeah."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd16afb481909a5d5893e024683f |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a5d7e088190b5b1a852bfdc9073 |
completed | April 5, 2026, 1:57 p.m. |
Created at: March 30, 2026, 8:51 p.m.