Triple

T23502332
Position Surface form Disambiguated ID Type / Status
Subject Financial Times–Goldman Sachs Business Book of the Year Award E571883 entity
Predicate presentedBy P83 FINISHED
Object Financial Times 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: Financial Times | Statement: [Financial Times–Goldman Sachs Business Book of the Year Award, presentedBy, Financial Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Financial Times
Context triple: [Financial Times–Goldman Sachs Business Book of the Year Award, presentedBy, Financial Times]
  • A. Financial Times chosen
    The Financial Times is a leading international daily newspaper based in London, renowned for its global business, economic, and financial news coverage.
  • B. The Economist
    The Economist is an international weekly news and business publication known for its in-depth analysis and commentary on global politics, economics, and current affairs.
  • C. The Wall Street Journal
    The Wall Street Journal is a leading American business-focused daily newspaper known for its influential financial reporting and analysis.
  • D. The Economic Times
    The Economic Times is one of India’s leading business and financial newspapers, widely read for its coverage of markets, economy, and corporate affairs.
  • E. WSJ
    WSJ is the Indian Railways station code for Wansjaliya Junction railway station in Gujarat, India.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fd65e08190ae94ad4f0638cc0e completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.