Triple

T23348102
Position Surface form Disambiguated ID Type / Status
Subject Mike Hilton E591923 entity
Predicate coFounded P104 FINISHED
Object Concur Technologies 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: Concur Technologies | Statement: [Mike Hilton, coFounded, Concur Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concur Technologies
Context triple: [Mike Hilton, coFounded, Concur Technologies]
  • A. Concur Technologies chosen
    Concur Technologies is a software company best known for its cloud-based travel and expense management solutions used by businesses worldwide.
  • B. Priceline
    Priceline is a major online travel agency known for offering discounted rates on flights, hotels, rental cars, and vacation packages.
  • C. Expedia Group
    Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
  • D. Sabre Holdings
    Sabre Holdings is a major travel technology and global distribution systems company that provides software and services to airlines, hotels, and travel agencies worldwide.
  • E. Intuit
    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.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983840a481908c503e47ef2158e3 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:19 p.m.