Triple

T20096471
Position Surface form Disambiguated ID Type / Status
Subject The Orange Fairy Book E496413 entity
Predicate containsWork P2011 FINISHED
Object The Magic Mirror 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 Mirror | Statement: [The Orange Fairy Book, containsWork, The Magic Mirror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Magic Mirror
Context triple: [The Orange Fairy Book, containsWork, The Magic Mirror]
  • A. Magic Mirror chosen
    Magic Mirror is the enchanted talking mirror from the Snow White fairy tale that reveals hidden truths and answers the Evil Queen’s questions.
  • B. La Maga
    La Maga is a mysterious, free-spirited woman who embodies emotional intuition and existential uncertainty in Julio Cortázar’s novel "Rayuela" ("Hopscotch").
  • C. El Mago
    El Mago is the nickname of Argentine former professional tennis player Guillermo Coria, renowned for his exceptional clay-court skills and speed.
  • D. 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.
  • E. The Magic
    "The Magic" is a track from Scarlet Rivera's 1977 self-titled album, showcasing her distinctive violin-driven blend of rock and folk influences.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666cc02481908780a415b19c05a2 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.