Triple

T9012607
Position Surface form Disambiguated ID Type / Status
Subject Brilliant Lady E215511 entity
Predicate ownedBy P347 FINISHED
Object Virgin Voyages E39797 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 Voyages | Statement: [Brilliant Lady, ownedBy, Virgin Voyages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin Voyages
Context triple: [Brilliant Lady, ownedBy, Virgin Voyages]
  • A. Virgin Voyages chosen
    Virgin Voyages is a lifestyle-focused cruise line under the Virgin brand that offers adults-only, resort-style voyages with a modern, boutique experience.
  • B. Windstar Cruises
    Windstar Cruises is a small-ship cruise line known for its luxury yacht-style voyages and intimate, sail-assisted vessels that visit unique ports worldwide.
  • C. Celebrity Cruises
    Celebrity Cruises is a premium cruise line known for its upscale ships, modern design, and destination-focused itineraries around the world.
  • D. Silversea Cruises
    Silversea Cruises is a luxury cruise line known for its small, ultra-premium ships and all-inclusive, high-end travel experiences to destinations worldwide.
  • E. Argosy Cruises
    Argosy Cruises is a Seattle-based tour company that operates sightseeing and dining cruises around Elliott Bay and the greater Puget Sound area.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f846f88190af65dfcf8bdd936a completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fc332c881908847e70bee4695af completed April 3, 2026, 9:23 p.m.
Created at: March 30, 2026, 7:06 p.m.