Triple

T10168776
Position Surface form Disambiguated ID Type / Status
Subject Rich Barton E235275 entity
Predicate coFounded P104 FINISHED
Object Zillow E597249 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: Zillow | Statement: [Rich Barton, coFounded, Zillow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zillow
Context triple: [Rich Barton, coFounded, Zillow]
  • A. Zillow chosen
    Zillow is a major U.S.-based online real estate marketplace that provides home listings, value estimates, and related housing data to buyers, sellers, and renters.
  • B. Redfin
    Redfin is a technology-powered real estate brokerage and listings platform that enables users to buy, sell, and search for homes online.
  • C. LendingTree
    LendingTree is an online lending marketplace that connects consumers with multiple lenders for mortgages, personal loans, credit cards, and other financial products.
  • D. Flytoget
    Flytoget is Norway’s high-speed airport express train service that connects Oslo Airport with Oslo and surrounding areas.
  • E. Rocket Mortgage
    Rocket Mortgage is a leading U.S.-based online mortgage lender known for its fully digital home loan application and approval process.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6f64a48190883aefce58a65ca6 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3177ddab48190988c280faf406383 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:10 p.m.