Triple
T10305307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesca Scorsese |
E241735
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Silence |
E178801
|
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 | Statement: [Francesca Scorsese, notableWork, Silence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silence Context triple: [Francesca Scorsese, notableWork, Silence]
-
A.
Silence
chosen
"Silence" is a 2016 historical drama film directed by Martin Scorsese, in which Liam Neeson plays a Jesuit priest in 17th-century Japan grappling with faith, persecution, and apostasy.
-
B.
Silence
"Silence" is a one-act play by Harold Pinter that explores memory, communication, and the elusiveness of truth through fragmented dialogue and shifting perspectives.
-
C.
Silence
"Silence" is a 2017 electronic pop song by Marshmello featuring Khalid, known for its emotive lyrics and melodic, atmospheric production.
-
D.
Silencio
Silencio is a solo album by French musician Laetitia Sadier, blending atmospheric indie pop with politically and philosophically charged lyrics.
-
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 (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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d309a4508190ad9de37171a64dba |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d58416081909a010e905d70e934 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:46 a.m.