Triple

T11374928
Position Surface form Disambiguated ID Type / Status
Subject Cinema City E269441 entity
Predicate competesWith P1375 FINISHED
Object Helios (cinema chain)
Helios is a major Polish cinema chain operating multiplex theaters across the country.
E922063 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: Helios (cinema chain) | Statement: [Cinema City, competesWith, Helios (cinema chain)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helios (cinema chain)
Context triple: [Cinema City, competesWith, Helios (cinema chain)]
  • A. Harkins Theatres
    Harkins Theatres is a privately owned American movie theater chain based in the Southwestern United States, known for its multiplex cinemas and premium film presentation.
  • B. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • C. Cinemark Theatres
    Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
  • D. United Cinemas
    United Cinemas is a Japanese movie theater chain operating multiplex cinemas in various locations, including major shopping and entertainment complexes.
  • E. Arclight Cinemas
    Arclight Cinemas was a premium movie theater chain based in Los Angeles, known for its upscale amenities, reserved seating, and operation of the iconic Cinerama Dome.
  • 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: Helios (cinema chain)
Triple: [Cinema City, competesWith, Helios (cinema chain)]
Generated description
Helios is a major Polish cinema chain operating multiplex theaters across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helios (cinema chain)
Target entity description: Helios is a major Polish cinema chain operating multiplex theaters across the country.
  • A. Harkins Theatres
    Harkins Theatres is a privately owned American movie theater chain based in the Southwestern United States, known for its multiplex cinemas and premium film presentation.
  • B. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • C. Cinemark Theatres
    Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
  • D. United Cinemas
    United Cinemas is a Japanese movie theater chain operating multiplex cinemas in various locations, including major shopping and entertainment complexes.
  • E. Arclight Cinemas
    Arclight Cinemas was a premium movie theater chain based in Los Angeles, known for its upscale amenities, reserved seating, and operation of the iconic Cinerama Dome.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8d244c8190b865260338edb532 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568e3e108190ab843236b417f150 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.