Triple

T20592305
Position Surface form Disambiguated ID Type / Status
Subject Karen Grassle E505959 entity
Predicate appearedIn P795 FINISHED
Object Hotel (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 (TV series) | Statement: [Karen Grassle, appearedIn, Hotel (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel (TV series)
Context triple: [Karen Grassle, appearedIn, Hotel (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 World
    Hotel World is a novel by Scottish author Ali Smith that interweaves the lives of several women connected to a hotel, exploring themes of time, grief, and human connection through experimental narrative techniques.
  • E. International Hotel
    The International Hotel was a historic low-income residential hotel in San Francisco’s Manilatown that became a landmark of Asian American community activism and tenants’ rights struggles in the 1960s and 1970s.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a97c10f081909daf635e9be0dd22 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.