Triple

T7948696
Position Surface form Disambiguated ID Type / Status
Subject Glamour E184558 entity
Predicate hasEdition P35 FINISHED
Object Glamour Hungary E39388 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: Glamour Hungary | Statement: [Glamour, hasEdition, Glamour Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glamour Hungary
Context triple: [Glamour, hasEdition, Glamour Hungary]
  • A. Glamour chosen
    Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
  • B. Elle Hungary
    Elle Hungary is the Hungarian edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Hungarian readers and culture.
  • C. Covici-Friede
    Covici-Friede was an American publishing house active in the early 20th century, known for issuing works by prominent literary figures including John Steinbeck.
  • D. Gyöngyhajú lány
    "Gyöngyhajú lány" is a 1969 psychedelic rock ballad by the Hungarian band Omega, renowned for its haunting melody and enduring influence in Eastern European rock music.
  • E. Glitz
    Glitz is a crime novel by Elmore Leonard that follows a tough Miami cop entangled with a vengeful ex-con and the seedy underworld of Atlantic City.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2bf6f48190ac7491c41045cab2 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe03c7d308190aec1172415be995c completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:10 p.m.