Triple

T7147761
Position Surface form Disambiguated ID Type / Status
Subject Niskayuna, New York, United States E166611 entity
Predicate hasNotableResident P1092 FINISHED
Object Brian Chesky E31512 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: Brian Chesky | Statement: [Niskayuna, New York, United States, hasNotableResident, Brian Chesky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Chesky
Context triple: [Niskayuna, New York, United States, hasNotableResident, Brian Chesky]
  • A. Brian Chesky chosen
    Brian Chesky is an American entrepreneur and co-founder/CEO of Airbnb, a leading global home-sharing and travel marketplace.
  • B. Allison Chesky
    Allison Chesky is known as the sister of Airbnb co-founder and CEO Brian Chesky.
  • C. Travis Kalanick
    Travis Kalanick is an American entrepreneur best known as the co-founder and former CEO of the ride-hailing company Uber.
  • D. Tony Hsieh
    Tony Hsieh was an American entrepreneur and venture capitalist best known for transforming Zappos into a pioneering online retailer celebrated for its customer service–driven culture.
  • E. Anthony Hsieh
    Anthony Hsieh is an American entrepreneur best known as the founder and former CEO of loanDepot, one of the largest nonbank mortgage lenders in the United States.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d6313c8190bdd34e700fc65502 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ada513388190a02a3733bfedf0f7 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:46 p.m.