Triple

T3433732
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Tisch E72397 entity
Predicate employer P7 FINISHED
Object Loews Hotels E125741 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: Loews Hotels | Statement: [Jonathan Tisch, employer, Loews Hotels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loews Hotels
Context triple: [Jonathan Tisch, employer, Loews Hotels]
  • A. Loews Hotels chosen
    Loews Hotels is an American luxury hospitality company that owns and operates upscale hotels and resorts across major cities and vacation destinations.
  • B. Loews Corporation
    Loews Corporation is a diversified American holding company with major interests in insurance, energy, hospitality, and packaging.
  • C. Hilton Hotels Corporation
    Hilton Hotels Corporation is a major American multinational hospitality company known for its global network of hotels and resorts across a wide range of market segments.
  • D. Hyatt Hotels Corporation
    Hyatt Hotels Corporation is a global hospitality company that owns, manages, and franchises a portfolio of upscale and luxury hotels, resorts, and vacation properties under multiple brand names.
  • E. Marriott International
    Marriott International is a global hospitality company that owns, manages, and franchises a wide portfolio of hotel and lodging brands worldwide.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c1d9148190b873ba66d34d4f01 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547fd15481909c310b731231d5bb completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.