Triple

T979173
Position Surface form Disambiguated ID Type / Status
Subject Barry Diller E21127 entity
Predicate boardMemberOf P10 FINISHED
Object Expedia Group E7140 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: Expedia Group | Statement: [Barry Diller, boardMemberOf, Expedia Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expedia Group
Context triple: [Barry Diller, boardMemberOf, Expedia Group]
  • A. Expedia Group chosen
    Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
  • B. Wotif Group
    Wotif Group is an online travel company best known for its hotel and accommodation booking platforms, particularly in the Australian and Asia-Pacific markets.
  • C. Sky Group
    Sky Group is a major European media and telecommunications conglomerate best known for its satellite television, broadband, and streaming services.
  • D. Hyatt Hotels Corporation
    Hyatt Hotels Corporation is a global hospitality company that owns, manages, and franchises a portfolio of upscale and luxury hotels, resorts, and vacation properties under multiple brand names.
  • E. Aviall
    Aviall is an aviation parts and services company that operates as a subsidiary of Boeing, supplying aftermarket aircraft components and logistics support to the aerospace industry.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b479e8f081908183448c36244e1f completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cde59ac8190a04e3412805bc130 completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:40 p.m.