Triple

T9347427
Position Surface form Disambiguated ID Type / Status
Subject Moira Lister E224926 entity
Predicate notableWork P4 FINISHED
Object The Magic Box E485720 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: The Magic Box | Statement: [Moira Lister, notableWork, The Magic Box]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Magic Box
Context triple: [Moira Lister, notableWork, The Magic Box]
  • A. The Magic Box chosen
    The Magic Box is a 1951 British biographical drama film about cinema pioneer William Friese-Greene, featuring Glynis Johns among its notable cast.
  • B. The Mad Magician
    The Mad Magician is a 1954 3D horror film starring Vincent Price as a vengeful illusionist who uses his skills in gruesome murders.
  • C. The Magic Hedge
    The Magic Hedge is a renowned birdwatching hotspot and migratory bird sanctuary located along the Lake Michigan shoreline in Chicago’s Montrose Point.
  • D. The Enchanted Room
    The Enchanted Room is a metaphysical painting by Italian artist Carlo Carrà that exemplifies his exploration of dreamlike, enigmatic interior spaces.
  • E. The Magic
    The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0f4c4c8190a94c0d44ef349d7d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e432106c81908ae080f37bc80f3f completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.