Triple

T18885982
Position Surface form Disambiguated ID Type / Status
Subject Kay Walsh E461956 entity
Predicate notableWork P4 FINISHED
Object The Magnet 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: The Magnet | Statement: [Kay Walsh, notableWork, The Magnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Magnet
Context triple: [Kay Walsh, notableWork, The Magnet]
  • A. The Magnet chosen
    The Magnet is a 1950 British comedy film, often noted for its whimsical portrayal of childhood and moral dilemmas, directed by Charles Frend.
  • B. Magnetes
    Magnetes were an ancient Greek tribe from the region of Magnesia in Thessaly, known from myth and history as participants in wider Hellenic religious and political affairs.
  • C. The Magnetic Monster
    The Magnetic Monster is a 1953 science fiction film about scientists battling a rapidly growing, energy-absorbing artificial element that threatens to destroy the Earth.
  • D. Magnet
    Magnet is a Norwegian musician and singer-songwriter known for his atmospheric, melodic indie and folk-influenced music.
  • E. The Magic Box
    The Magic Box is a 1951 British biographical drama film about cinema pioneer William Friese-Greene, featuring Glynis Johns among its notable 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4760d808190b502c4ed1f24424c completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:57 a.m.