Triple

T17458015
Position Surface form Disambiguated ID Type / Status
Subject Naunton Wayne E425080 entity
Predicate notableWork P4 FINISHED
Object The Magic Box 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 Magic Box | Statement: [Naunton Wayne, notableWork, The Magic Box]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Magic Box
Context triple: [Naunton Wayne, 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 Magic Room
    The Magic Room is a nonfiction book by journalist Jeffrey Zaslow that explores the emotional journeys of brides and their families through the stories centered around a small-town bridal shop.
  • C. The Magic Man
    The Magic Man is the nickname of Pavel Datsyuk, a Russian former NHL star renowned for his exceptional puck-handling, creativity, and two-way play.
  • D. 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.
  • E. 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.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4514385e48190b97a257bb3d07d2d completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.