Triple

T9385619
Position Surface form Disambiguated ID Type / Status
Subject Wanda Cinemas E225896 entity
Predicate alsoKnownAs P39 FINISHED
Object Wanda Cinema Line E225896 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: Wanda Cinema Line | Statement: [Wanda Cinemas, alsoKnownAs, Wanda Cinema Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanda Cinema Line
Context triple: [Wanda Cinemas, alsoKnownAs, Wanda Cinema Line]
  • A. Wanda Cinemas chosen
    Wanda Cinemas is a major Chinese cinema chain known for operating a large network of modern movie theaters across China.
  • B. Cinema City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • C. Rex Cinema
    Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
  • D. Olympion Cinema
    Olympion Cinema is a historic movie theater and cultural landmark in Thessaloniki, Greece, best known for hosting the city’s prestigious international film festival.
  • E. Dome Cinema
    Dome Cinema is a historic seafront movie theatre and landmark in Worthing, West Sussex, known for its distinctive domed architecture and early 20th-century origins.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d3964c8190b0353f56df755db8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078fbc8c8190ac27c5cb27793a9a completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:44 p.m.