Triple

T17749718
Position Surface form Disambiguated ID Type / Status
Subject Old Well E443079 entity
Predicate distributor P1951 FINISHED
Object China Film Distribution NE NERFINISHED

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: China Film Distribution | Statement: [Old Well, distributor, China Film Distribution]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Film Distribution
Context triple: [Old Well, distributor, China Film Distribution]
  • A. 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."
  • B. China Film Co., Ltd. chosen
    China Film Co., Ltd. is a major Chinese state-owned film company involved in the production, distribution, and import/export of domestic and international movies.
  • C. Wanda Film
    Wanda Film is a major Chinese cinema chain and film entertainment company owned by the Dalian Wanda Group.
  • D. Cinema 5 Distributing
    Cinema 5 Distributing was an independent American film distribution company known for releasing influential art-house and documentary films in the 1960s and 1970s.
  • E. Tianyi Film Company
    Tianyi Film Company was one of the pioneering and most influential early Chinese film studios, helping shape the development of commercial cinema in Shanghai and across East Asia in the early 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48418c0188190beb31809b40e4648 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.