Triple

T6920373
Position Surface form Disambiguated ID Type / Status
Subject Top Chef E160167 entity
Predicate productionCompany P490 FINISHED
Object Magical Elves E630021 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: Magical Elves | Statement: [Top Chef, productionCompany, Magical Elves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magical Elves
Context triple: [Top Chef, productionCompany, Magical Elves]
  • A. Magical Elves chosen
    Magical Elves is a television production company best known for creating and producing popular reality and competition series such as "Top Chef."
  • B. Afternoon of an Elf
    "Afternoon of an Elf" is a jazz composition by pianist and composer Erroll Garner, showcasing his lyrical improvisation and distinctive swing style.
  • 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. La Maga
    La Maga is a mysterious, free-spirited woman who embodies emotional intuition and existential uncertainty in Julio Cortázar’s novel "Rayuela" ("Hopscotch").
  • E. Magical Menagerie
    Magical Menagerie is a wizarding pet shop in the Harry Potter universe that sells a wide variety of magical creatures and animals to witches and wizards.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fa452c8190b2bea2d47309c889 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75854d968819085e0c5123a57c751 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:26 p.m.