Triple

T11696099
Position Surface form Disambiguated ID Type / Status
Subject Forbes E277997 entity
Predicate publisher P29 FINISHED
Object Forbes Media E163644 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: Forbes Media | Statement: [Forbes, publisher, Forbes Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forbes Media
Context triple: [Forbes, publisher, Forbes Media]
  • A. Forbes Global Media Holdings chosen
    Forbes Global Media Holdings is the parent company that controls the Forbes brand and its global media, publishing, and business information operations.
  • B. Forbes
    Forbes is a global media company best known for its business magazine that ranks and profiles the world’s wealthiest individuals, companies, and influential leaders.
  • C. Forbes
    Forbes is a historic rural town in central-west New South Wales, Australia, known for its agricultural industry and heritage architecture along the Lachlan River.
  • D. Atlantic Media
    Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
  • E. Fortune magazine
    Fortune magazine is a prominent American business publication known for its in-depth reporting on corporate affairs, economics, and its influential rankings such as the Fortune 500.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1471cba88190a7abdcbf4f579ea9 completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.