Triple

T1461085
Position Surface form Disambiguated ID Type / Status
Subject Brian Chesky E31512 entity
Predicate name P16 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: [Brian Chesky, name, Brian Chesky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Chesky
Context triple: [Brian Chesky, name, 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. Travis Kalanick
    Travis Kalanick is an American entrepreneur best known as the co-founder and former CEO of the ride-hailing company Uber.
  • C. 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.
  • D. John Zimmer
    John Zimmer is an American entrepreneur best known as the co-founder and former president of the ride-sharing company Lyft.
  • E. Dustin Moskovitz
    Dustin Moskovitz is an American entrepreneur and philanthropist best known as a co-founder of Facebook and the productivity software company Asana.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59ecb60819082217b034e18381f completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7ab538819090bc3e3ed1bbff64 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8 p.m.