Triple

T12185201
Position Surface form Disambiguated ID Type / Status
Subject Asimov’s Science Fiction E290315 entity
Predicate publisher P29 FINISHED
Object Dell Magazines E59316 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: Dell Magazines | Statement: [Asimov’s Science Fiction, publisher, Dell Magazines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dell Magazines
Context triple: [Asimov’s Science Fiction, publisher, Dell Magazines]
  • A. Dell Magazines chosen
    Dell Magazines is a long-running American publisher best known for its science fiction and mystery magazines, including Analog Science Fiction and Fact and Asimov’s Science Fiction.
  • B. Dell Publishing
    Dell Publishing is a major American book publisher best known for its mass-market paperbacks and genre fiction titles.
  • C. Dell Comics
    Dell Comics was a major mid-20th-century American comic book publisher best known for its licensed adaptations of popular film, television, and cartoon properties.
  • D. Ziff-Davis Publishing Company
    Ziff-Davis Publishing Company is an American media and publishing firm best known for its influential magazines in science fiction, technology, and computing.
  • E. Hearst Magazines
    Hearst Magazines is a major American magazine publisher known for producing a wide range of popular consumer titles across lifestyle, fashion, home, and entertainment categories.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915ffe644819085f4eb64802fe349 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e505fc481909cdd2dabcef8d948 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:50 p.m.