Triple

T9385647
Position Surface form Disambiguated ID Type / Status
Subject Wanda Cinemas E225896 entity
Predicate associatedWith P37 FINISHED
Object Wanda Film Holding E796011 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 Film Holding | Statement: [Wanda Cinemas, associatedWith, Wanda Film Holding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanda Film Holding
Context triple: [Wanda Cinemas, associatedWith, Wanda Film Holding]
  • A. Wanda Film chosen
    Wanda Film is a major Chinese cinema chain and film entertainment company owned by the Dalian Wanda Group.
  • B. Huayi Brothers Pictures
    Huayi Brothers Pictures is a major Chinese film production and distribution company known for backing both domestic blockbusters and international co-productions.
  • C. Alibaba Pictures
    Alibaba Pictures is a Chinese film and entertainment company under the Alibaba Group, involved in movie production, distribution, and related digital media services.
  • D. Mandarin Films
    Mandarin Films is a film production company known for financing and producing international feature films such as the World War II drama "Enemy at the Gates."
  • E. Filmyard Holdings
    Filmyard Holdings is an investment group best known for purchasing the film studio Miramax from The Walt Disney Company in 2010.
  • 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.