Triple

T6494945
Position Surface form Disambiguated ID Type / Status
Subject Spencer Rascoff E148132 entity
Predicate boardMemberOf P10 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: [Spencer Rascoff, boardMemberOf, Zillow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zillow
Context triple: [Spencer Rascoff, boardMemberOf, 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab7c0b8819091437a293b40dfd2 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66386d48881908151bdf12a3d85ad completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:53 p.m.