Triple

T22769147
Position Surface form Disambiguated ID Type / Status
Subject Sidney Glass E563205 entity
Predicate hasAlias P455 FINISHED
Object 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: Magic Mirror | Statement: [Sidney Glass, hasAlias, Magic Mirror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magic Mirror
Context triple: [Sidney Glass, hasAlias, 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. Magic Foot
    "Magic Foot" is a comedic musical number from the Broadway show *The 25th Annual Putnam County Spelling Bee* that showcases a contestant’s quirky method of spelling words by tracing them with his foot.
  • C. 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.
  • D. 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.
  • E. El Mago
    El Mago is the famous nickname of Héctor Scarone, a legendary early 20th-century Uruguayan footballer renowned for his exceptional skill and creativity on the field.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b59c9cc8190a6edd68f3209a672 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.