Triple

T9994976
Position Surface form Disambiguated ID Type / Status
Subject Tadanobu Asano E197179 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: [Tadanobu Asano, notableWork, Silence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silence
Context triple: [Tadanobu Asano, 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb99ac74819091f20816478ea375 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258336ab8819098d4878b8c106d86 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.