Triple

T1621229
Position Surface form Disambiguated ID Type / Status
Subject Jeff Weiner E35035 entity
Predicate boardMemberOf P10 FINISHED
Object Intuit E170576 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: Intuit | Statement: [Jeff Weiner, boardMemberOf, Intuit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intuit
Context triple: [Jeff Weiner, boardMemberOf, Intuit]
  • A. Intuit chosen
    Intuit is an American financial software company best known for products like TurboTax, QuickBooks, and Mint that help individuals and small businesses manage taxes, accounting, and personal finance.
  • B. NetSuite
    NetSuite is a cloud-based enterprise resource planning (ERP) and business management software suite widely used by companies to manage finance, operations, and customer relationships.
  • C. Concur Technologies
    Concur Technologies is a software company best known for its cloud-based travel and expense management solutions used by businesses worldwide.
  • D. Ultimate Software
    Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
  • E. Xoom Corporation
    Xoom Corporation is a digital money transfer service that enables individuals to send funds, pay bills, and reload mobile phones internationally, and operates as a subsidiary of PayPal.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909b1fc788190b38c0aa4ccc2e953 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51d2cbb481908bc74cecdc023547 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.