Triple

T8800426
Position Surface form Disambiguated ID Type / Status
Subject Virgin Management E209391 entity
Predicate associatedBrand P1500 FINISHED
Object Virgin Hotels E202740 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: Virgin Hotels | Statement: [Virgin Management, associatedBrand, Virgin Hotels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin Hotels
Context triple: [Virgin Management, associatedBrand, Virgin Hotels]
  • A. Virgin Hotels chosen
    Virgin Hotels is a lifestyle-focused hotel chain known for its modern design, tech-friendly amenities, and guest-centric service, operating in major cities across the United States and beyond.
  • B. Mirage Resorts
    Mirage Resorts was a prominent Las Vegas-based casino and resort company known for developing some of the Strip’s most iconic luxury properties.
  • C. Wynn Las Vegas
    Wynn Las Vegas is a luxury resort and casino on the Las Vegas Strip known for its upscale accommodations, fine dining, and high-end entertainment and shopping.
  • D. Wynn
    Wynn is a given name that can be used for both males and females, often associated with English or Welsh origins.
  • E. Wynn Resorts
    Wynn Resorts is a luxury hotel and casino development company known for its high-end integrated resorts in Las Vegas and Macau.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb8aab88190befed16301e08efc completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f6fdd688190bf40bbde0be991e1 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.