Triple

T14382474
Position Surface form Disambiguated ID Type / Status
Subject David Rockwell E356636 entity
Predicate notableWork P4 FINISHED
Object Nobu restaurants E355470 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: Nobu restaurants | Statement: [David Rockwell, notableWork, Nobu restaurants]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobu restaurants
Context triple: [David Rockwell, notableWork, Nobu restaurants]
  • A. Nobu restaurants chosen
    Nobu restaurants are a globally renowned luxury dining chain known for their innovative Japanese-Peruvian cuisine and stylish, high-end ambiance.
  • B. Nobu
    Nobu is a common Japanese given name and name element that can appear in various masculine and unisex names.
  • C. Katsura Grill
    Katsura Grill is a casual quick-service Japanese restaurant located in the Japan Pavilion at EPCOT in Walt Disney World.
  • D. Morimoto Asia
    Morimoto Asia is an upscale Pan-Asian restaurant by Iron Chef Masaharu Morimoto, known for its inventive cuisine and stylish, contemporary setting.
  • E. Cowfish Sushi Burger Bar
    Cowfish Sushi Burger Bar is a fusion restaurant concept known for combining gourmet burgers and creative sushi dishes, including "burgushi" hybrids, in a lively, modern setting.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900d28c88190a37feee4743563de completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5511c9e4819089dcbf089ca0dc6a completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.