Triple

T22149839
Position Surface form Disambiguated ID Type / Status
Subject Summa Corporation E547383 entity
Predicate operated P1688 FINISHED
Object Hughes Hotels
Hughes Hotels was a chain of hotels owned by Howard Hughes’s Summa Corporation, associated with the billionaire’s extensive Las Vegas and hospitality investments.
 E1522109 NE FINISHED

How this triple was built (4 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: Hughes Hotels | Statement: [Summa Corporation, operated, Hughes Hotels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hughes Hotels
Context triple: [Summa Corporation, operated, Hughes Hotels]
  • A. Madison Hotels
    Madison Hotels is a hospitality company that operates and manages a portfolio of hotel properties.
  • B. Hilton
    Hilton is an inner-western suburb of Adelaide in South Australia, known for its proximity to the city centre and mixed residential–commercial character.
  • C. Hilton
    Hilton is a common English given name used by various notable individuals across sports, entertainment, and other fields.
  • D. Hilton
    Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
  • E. Hilton
    Hilton is a global hospitality company that operates a worldwide portfolio of hotels and resorts across multiple brands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hughes Hotels
Triple: [Summa Corporation, operated, Hughes Hotels]
Generated description
Hughes Hotels was a chain of hotels owned by Howard Hughes’s Summa Corporation, associated with the billionaire’s extensive Las Vegas and hospitality investments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hughes Hotels
Target entity description: Hughes Hotels was a chain of hotels owned by Howard Hughes’s Summa Corporation, associated with the billionaire’s extensive Las Vegas and hospitality investments.
  • A. Madison Hotels
    Madison Hotels is a hospitality company that operates and manages a portfolio of hotel properties.
  • B. Hilton
    Hilton is an inner-western suburb of Adelaide in South Australia, known for its proximity to the city centre and mixed residential–commercial character.
  • C. Hilton
    Hilton is a common English given name used by various notable individuals across sports, entertainment, and other fields.
  • D. Hilton
    Hilton is a global hospitality company that operates a worldwide portfolio of hotels and resorts across multiple brands.
  • E. Hilton
    Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
  • F. None of above. chosen

Provenance (5 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f2c0e881909c3488bb5eb5959d completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9704f4988190b03783c006929ad7 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97e509a88190a7f316cf340d010a completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a987daa208190bab5b7adec1913e8 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:33 p.m.