Triple
T4977670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Tillinger Koskoff |
E111807
|
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: [Emma Tillinger Koskoff, notableWork, Silence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silence Context triple: [Emma Tillinger Koskoff, 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, Please
"Silence, Please" is a humorous science fiction short story by Arthur C. Clarke, featured in his collection *Tales from the White Hart*.
-
D.
The Silence
The Silence are a mysterious, memory-erasing religious order of alien beings in Doctor Who who covertly manipulate human history from the shadows.
-
E.
The Silence
The Silence is a short, late-career novel by Don DeLillo that explores human disconnection and technological collapse in a near-future setting.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7232bd8c8190b325c9198e8b2fa1 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0634b48190acb4a1834f5647cf |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.