Triple

T5148570
Position Surface form Disambiguated ID Type / Status
Subject Ten Canoes E116134 entity
Predicate distributor P1951 FINISHED
Object Palace Films E499540 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: Palace Films | Statement: [Ten Canoes, distributor, Palace Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palace Films
Context triple: [Ten Canoes, distributor, Palace Films]
  • A. Palace Films chosen
    Palace Films is an Australian film distribution company known for releasing a wide range of acclaimed international and local arthouse and independent films.
  • B. Eagle-Lion Films
    Eagle-Lion Films was an American film production and distribution company active in the late 1940s, best known for its low-budget features and notable film noir titles.
  • C. World Film Company
    World Film Company was an early 20th-century American motion picture distribution and production company active during the silent film era.
  • D. Palomar Pictures International
    Palomar Pictures International was an American film production company active in the late 1960s and early 1970s, known for producing several notable Hollywood features.
  • E. Alliance Films
    Alliance Films was a major Canadian film distribution and production company known for releasing a wide range of independent and international movies in Canada and other markets.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78b17028819080568715df8c13eb completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee07016e4819094aacafec653e700 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:43 p.m.