Triple

T18161842
Position Surface form Disambiguated ID Type / Status
Subject Greg Maffei E434783 entity
Predicate boardMemberOf P10 FINISHED
Object TripAdvisor 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: TripAdvisor | Statement: [Greg Maffei, boardMemberOf, TripAdvisor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TripAdvisor
Context triple: [Greg Maffei, boardMemberOf, TripAdvisor]
  • A. TripAdvisor chosen
    TripAdvisor is a popular online travel platform that provides user-generated reviews, ratings, and booking tools for hotels, restaurants, and attractions worldwide.
  • B. Booking.com
    Booking.com is a major global online travel agency that allows users to search for and book accommodations such as hotels, apartments, and vacation rentals.
  • C. Klook
    Klook is the nickname of Kenny Clarke, a pioneering American jazz drummer and key figure in the development of bebop.
  • D. Angie’s List
    Angie’s List is an online marketplace and review platform where consumers can find and rate local service professionals such as contractors, plumbers, and other home service providers.
  • E. Agoda
    Agoda is a global online travel agency known for offering hotel and accommodation bookings, flights, and travel services, particularly strong in the Asia-Pacific region.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec32530819099d906640a07e92c completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.