Triple

T1736866
Position Surface form Disambiguated ID Type / Status
Subject Hearst Communications E37938 entity
Predicate owns P347 FINISHED
Object Elle (U.S. edition) E39387 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: Elle (U.S. edition) | Statement: [Hearst Communications, owns, Elle (U.S. edition)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elle (U.S. edition)
Context triple: [Hearst Communications, owns, Elle (U.S. edition)]
  • A. Elle chosen
    Elle is a globally recognized fashion and lifestyle magazine known for its coverage of style, beauty, culture, and celebrity features.
  • B. Elle
    Elle is the solitary female protagonist of Francis Poulenc’s one-act opera *La voix humaine*, whose intense telephone monologue lays bare her emotional collapse during a breakup.
  • C. Céline
    Céline is the French given name of internationally renowned Canadian singer Céline Dion.
  • D. Lady of Perfume
    Lady of Perfume is an epithet of the Egyptian goddess Bastet, highlighting her association with fragrance, sensuality, and protective femininity.
  • E. The Devil Wears Prada
    The Devil Wears Prada is a popular 2006 comedy-drama film about an aspiring journalist who becomes assistant to a powerful fashion magazine editor, offering a satirical look at the high-pressure world of fashion.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a47cd481909c211e4da7f5dfe9 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b008b7881909ac568af010bcf99 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.