Triple

T10005676
Position Surface form Disambiguated ID Type / Status
Subject Elle Mexico E198234 entity
Predicate basedOn P98 FINISHED
Object Elle (magazine) E740820 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 (magazine) | Statement: [Elle Mexico, basedOn, Elle (magazine)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elle (magazine)
Context triple: [Elle Mexico, basedOn, Elle (magazine)]
  • A. Elle magazine chosen
    Elle magazine is a globally recognized women’s fashion and lifestyle publication known for its coverage of style, beauty, culture, and celebrity.
  • B. Marie Claire
    Marie Claire is an international women’s magazine known for combining fashion and beauty coverage with in-depth features on culture, politics, and social issues.
  • C. Mademoiselle magazine
    Mademoiselle magazine was an American women’s fashion and lifestyle magazine known for its literary quality and for publishing notable fiction and essays by emerging writers.
  • D. Esprit (magazine)
    Esprit is a French intellectual and cultural magazine known for its influential essays on politics, philosophy, and social issues.
  • E. Cosmopolitan magazine
    Cosmopolitan magazine is a long-running American monthly publication best known for its focus on fashion, relationships, and lifestyle topics, particularly aimed at young women.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd157d9c8190b863e4264f9a48b1 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a0034ec8190bd0a2a368441e44f completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:51 p.m.