Triple

T18226934
Position Surface form Disambiguated ID Type / Status
Subject FactSet E436444 entity
Predicate product P490 FINISHED
Object FactSet Risk 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: FactSet Risk | Statement: [FactSet, product, FactSet Risk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FactSet Risk
Context triple: [FactSet, product, FactSet Risk]
  • A. FactSet chosen
    FactSet is a financial data and analytics platform widely used by investment professionals for market data, research, and portfolio analysis.
  • B. S&P Capital IQ
    S&P Capital IQ is a financial data and analytics platform from S&P Global that provides comprehensive market, company, and research information to investment and corporate professionals.
  • C. FMP
    FMP (Free Music Production) was a pioneering German independent record label known for its influential releases in free jazz and avant-garde improvised music.
  • D. FinanceScout24 GmbH
    FinanceScout24 GmbH is a German online platform specializing in the comparison and brokerage of financial and insurance products, operating as part of the Scout24 group.
  • E. Dow Jones Risk & Compliance
    Dow Jones Risk & Compliance is a specialized data and technology service that helps organizations manage regulatory, financial crime, and reputational risks through comprehensive screening, monitoring, and due diligence solutions.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aff8748190be5e732f9dbc8dff completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.