Triple

T1411519
Position Surface form Disambiguated ID Type / Status
Subject Forbes E31814 entity
Predicate knownFor P22 FINISHED
Object Forbes 400 list E31814 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 400 list | Statement: [Forbes, knownFor, Forbes 400 list]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forbes 400 list
Context triple: [Forbes, knownFor, Forbes 400 list]
  • A. Forbes chosen
    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.
  • B. 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.
  • C. Fortune 500
    Fortune 500 is an annual ranking by Fortune magazine that lists the 500 largest U.S. companies by total revenue.
  • D. Forbes list of the World's 100 Most Powerful Women
    The Forbes list of the World's 100 Most Powerful Women is an annual ranking by Forbes magazine that highlights the most influential women across politics, business, technology, media, and philanthropy worldwide.
  • E. Fortune 40 Under 40 list
    The Fortune 40 Under 40 list is an annual ranking highlighting influential and emerging leaders under the age of 40 across business, technology, finance, and other key industries.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e1da988190bc7c187e193539b6 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace57be14881908d469d2b5333d6d5 completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.