Triple

T4499543
Position Surface form Disambiguated ID Type / Status
Subject Interactive Data Corporation E101183 entity
Predicate competitor P1375 FINISHED
Object FactSet E436444 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: FactSet | Statement: [Interactive Data Corporation, competitor, FactSet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FactSet
Context triple: [Interactive Data Corporation, competitor, FactSet]
  • 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. Nasdaq Data Link
    Nasdaq Data Link is a financial data platform that provides access to a wide range of market, economic, and alternative datasets via APIs and tools for investors, analysts, and developers.
  • D. Thomson Reuters
    Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
  • E. EDGAR
    EDGAR is the U.S. Securities and Exchange Commission’s electronic filing system that provides public access to corporate financial and disclosure documents.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c29868819097633c7cd398e865 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f89114081908adbd8e78d4c8ec4 completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1 p.m.