Triple

T21143216
Position Surface form Disambiguated ID Type / Status
Subject Mike Leigh E520983 entity
Predicate directed P7373 FINISHED
Object Another Year 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: Another Year | Statement: [Mike Leigh, directed, Another Year]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Another Year
Context triple: [Mike Leigh, directed, Another Year]
  • A. Another Year chosen
    Another Year is a 2010 British drama film directed by Mike Leigh that follows a contented middle-aged couple and their troubled friends over the course of four seasons.
  • B. Blood Year
    Blood Year is a studio album by the American post-metal band Russian Circles, known for its heavy, guitar-driven instrumental sound.
  • C. A Difficult Year
    A Difficult Year is a French comedy-drama film co-directed by Olivier Nakache that follows two debt-ridden friends who become entangled with an environmental activist group.
  • D. The Years
    The Years is a 1937 novel by Virginia Woolf that traces the changing fortunes of the Pargiter family across several decades, blending social history with experimental narrative form.
  • E. A Year and a Day
    A Year and a Day is a film featuring actor T. R. Knight in its cast.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fad02c8190a8e9fb82f0491642 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.