Triple

T19543842
Position Surface form Disambiguated ID Type / Status
Subject Arthur Hailey E488983 entity
Predicate workAdaptedAs P1926 FINISHED
Object Hotel (American TV series) 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: Hotel (American TV series) | Statement: [Arthur Hailey, workAdaptedAs, Hotel (American TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel (American TV series)
Context triple: [Arthur Hailey, workAdaptedAs, Hotel (American TV series)]
  • A. Hotel (TV series) chosen
    Hotel is an American drama television series from the 1980s, based on an Arthur Hailey novel, that follows the staff and guests of a luxurious San Francisco hotel.
  • B. Hotel City
    Hotel City is a social-network simulation game developed by Playfish in which players design, build, and manage their own virtual hotel.
  • C. Hotel Bel-Air
    Hotel Bel-Air is a historic, ultra-luxury hotel in Los Angeles known for its secluded garden setting, celebrity clientele, and classic Hollywood glamour.
  • D. Hotel Street
    Hotel Street is a historic thoroughfare in Honolulu’s Chinatown district, long known as a bustling center of nightlife, commerce, and local culture.
  • E. Las Vegas (TV series)
    Las Vegas is an American drama television series that follows the high-stakes operations and security team of a fictional casino-resort on the Las Vegas Strip.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638750b288190aecdb0e18a1add62 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.