Triple

T20853557
Position Surface form Disambiguated ID Type / Status
Subject The Star E513421 entity
Predicate publisherOfFirstAppearance P7323 FINISHED
Object The Graphic magazine 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: The Graphic magazine | Statement: [The Star, publisherOfFirstAppearance, The Graphic magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Graphic magazine
Context triple: [The Star, publisherOfFirstAppearance, The Graphic magazine]
  • A. Graphic (magazine) chosen
    Graphic was a 19th-century British illustrated weekly magazine known for its high-quality artwork and influential visual journalism.
  • B. Magazeen
    Magazeen is a dancehall and reggae artist known for his affiliation with Rick Ross’s Maybach Music Group.
  • C. Crimson magazine
    Crimson magazine is a fictional high-fashion and lifestyle publication featured in the soap opera "General Hospital," based in the town of Port Charles.
  • D. Wonderland Magazine
    Wonderland Magazine is a British independent fashion and culture publication known for its edgy editorials and coverage of emerging talent in music, film, and style.
  • E. The Magazine of Magazines
    The Magazine of Magazines was an 18th-century British periodical that compiled and reprinted notable literary and political works for a broad reading public.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a6015081909f604a88d04b36ea completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.