Triple

T13863815
Position Surface form Disambiguated ID Type / Status
Subject Andrew Brice E333268 entity
Predicate coFounded P104 FINISHED
Object Wotif.com E59556 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: Wotif.com | Statement: [Andrew Brice, coFounded, Wotif.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wotif.com
Context triple: [Andrew Brice, coFounded, Wotif.com]
  • A. Wotif Group chosen
    Wotif Group is an online travel company best known for its hotel and accommodation booking platforms, particularly in the Australian and Asia-Pacific markets.
  • B. 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.
  • C. 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.
  • D. Hotels.com
    Hotels.com is a major online travel agency specializing in hotel and accommodation reservations worldwide.
  • E. Orbitz
    Orbitz is a major online travel agency that allows users to search for and book flights, hotels, rental cars, and vacation packages.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c30d9c81908217d41a3b4aaf85 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70c41f081908b6af3f419d8468d completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:14 p.m.