Triple

T10985213
Position Surface form Disambiguated ID Type / Status
Subject Thelma Connell E259610 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: [Thelma Connell, notableWork, The Magic Box]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Magic Box
Context triple: [Thelma Connell, 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 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.
  • C. 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.
  • D. 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.
  • E. The Magic Labyrinth
    The Magic Labyrinth is a science fiction novel by Philip José Farmer that continues his Riverworld saga, exploring the fates of resurrected historical figures in a mysterious afterlife world.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ed1eb88190b7333b746f76a088 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344d860b08190a035570191c54d7c completed April 18, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.