Triple

T2482995
Position Surface form Disambiguated ID Type / Status
Subject Cinemark Theatres E55861 entity
Predicate brand P1500 FINISHED
Object Tinseltown USA
Tinseltown USA is a movie theater brand operated by Cinemark Theatres, known for its multiplex cinemas offering mainstream film screenings.
 E271520 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: Tinseltown USA | Statement: [Cinemark Theatres, brand, Tinseltown USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tinseltown USA
Context triple: [Cinemark Theatres, brand, Tinseltown USA]
  • A. Hollywoodland
    Hollywoodland is a 2006 neo-noir mystery film that explores the real-life 1959 death of Superman actor George Reeves through a fictionalized investigation.
  • B. Hollywood
    Hollywood is a residential neighborhood in the city of College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • C. Hollywood
    Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
  • D. Hollywood
    Hollywood is a residential neighborhood in Homewood, Alabama, known for its historic homes and suburban character just outside Birmingham.
  • E. Hollywood
    Hollywood is a coastal city in southeastern Florida known for its beaches, boardwalk, and proximity to Miami.
  • 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: Tinseltown USA
Triple: [Cinemark Theatres, brand, Tinseltown USA]
Generated description
Tinseltown USA is a movie theater brand operated by Cinemark Theatres, known for its multiplex cinemas offering mainstream film screenings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tinseltown USA
Target entity description: Tinseltown USA is a movie theater brand operated by Cinemark Theatres, known for its multiplex cinemas offering mainstream film screenings.
  • A. Hollywoodland
    Hollywoodland is a 2006 neo-noir mystery film that explores the real-life 1959 death of Superman actor George Reeves through a fictionalized investigation.
  • B. Hollywood
    Hollywood is a residential neighborhood in the city of College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • C. Hollywood
    Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
  • D. Hollywood
    Hollywood is a residential neighborhood in Homewood, Alabama, known for its historic homes and suburban character just outside Birmingham.
  • E. Hollywood
    Hollywood is a coastal city in southeastern Florida known for its beaches, boardwalk, and proximity to Miami.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd163378481908b75f2f5de0e89c6 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b48d0881909442717d318a6f05 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1c4909888190aa6bc4f9731a8c68 completed March 9, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69af1d2adea08190899d0dcd8d1c0bc7 completed March 9, 2026, 7:19 p.m.
Created at: March 6, 2026, 9:45 p.m.