Triple

T14746563
Position Surface form Disambiguated ID Type / Status
Subject Village Roadshow Limited E346484 entity
Predicate hasBrand P1500 FINISHED
Object Village Cinemas E1118624 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: Village Cinemas | Statement: [Village Roadshow Limited, hasBrand, Village Cinemas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Village Cinemas
Context triple: [Village Roadshow Limited, hasBrand, Village Cinemas]
  • A. Village Cinemas chosen
    Village Cinemas is an Australian-based cinema chain known for operating multiplex movie theatres and premium cinema experiences in Australia and several international markets.
  • B. Marcus Theatres
    Marcus Theatres is a major American movie theater chain known for operating multiplex cinemas across the Midwest and other regions of the United States.
  • C. Whittier Village Cinemas
    Whittier Village Cinemas is a local movie theater complex serving as a popular entertainment hub in downtown Whittier, California.
  • D. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • E. Hawthorne Cinemas
    Hawthorne Cinemas is a local movie theatre in the Brisbane suburb of Hawthorne, Queensland, known for screening mainstream and occasional specialty films for the surrounding community.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d116e88190828b163b18d80f68 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ae3d6c819080c015ebc6bc9af0 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.