Triple

T18474707
Position Surface form Disambiguated ID Type / Status
Subject Adrian Lester E451398 entity
Predicate notableWork P4 FINISHED
Object Riviera 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: Riviera | Statement: [Adrian Lester, notableWork, Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riviera
Context triple: [Adrian Lester, notableWork, Riviera]
  • A. Riviera
    Riviera is a distinctive Baume & Mercier luxury sports watch collection known for its bold, angular case design and casual-elegant style.
  • B. Riviera chosen
    Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
  • C. The Riviera
    The Riviera is an affluent residential neighborhood in Los Angeles’ Pacific Palisades known for its luxury homes, exclusive country club, and proximity to the Santa Monica Mountains and Pacific Ocean.
  • D. Riviera dei Fiori
    Riviera dei Fiori is a picturesque coastal area in western Liguria, Italy, famed for its mild climate, flower cultivation, and seaside resorts including the city of Sanremo.
  • E. La Côte
    La Côte is a wine-producing region along the northern shore of Lake Geneva in the canton of Vaud, Switzerland, known for its picturesque vineyards and small towns.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062387481909d4503fc963f9913 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.