Triple

T9385674
Position Surface form Disambiguated ID Type / Status
Subject Wanda Culture Group E225897 entity
Predicate associatedWith P37 FINISHED
Object Wanda Film 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 | Statement: [Wanda Culture Group, associatedWith, Wanda Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanda Film
Context triple: [Wanda Culture Group, associatedWith, Wanda Film]
  • A. Wanda Film chosen
    Wanda Film is a major Chinese cinema chain and film entertainment company owned by the Dalian Wanda Group.
  • B. 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."
  • 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. 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.
  • E. Yari Film Group
    Yari Film Group is an independent American film production and distribution company known for financing and releasing a range of mid-budget feature films.
  • 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_69d1101e83e8819093fe8d25c819820b completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:44 p.m.