Triple

T10494549
Position Surface form Disambiguated ID Type / Status
Subject A Tale of Love and Darkness E247499 entity
Predicate distributor P1951 FINISHED
Object Focus World E519696 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: Focus World | Statement: [A Tale of Love and Darkness, distributor, Focus World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Focus World
Context triple: [A Tale of Love and Darkness, distributor, Focus World]
  • A. Focus World chosen
    Focus World is a film distribution label of Focus Features that specializes in releasing independent and international movies, often through limited theatrical and digital platforms.
  • B. Worldwide
    Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
  • C. Global
    Global is a major UK-based media and entertainment company best known for owning and operating prominent radio brands and digital audio platforms.
  • D. World
    World is an American public television network and programming service that focuses on documentary, news, and nonfiction content, often highlighting public affairs and global issues.
  • E. World & Nation
    World & Nation is a Los Angeles Times news section that covers major national and international events, politics, and global affairs.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcaeb6088190829b6c26eb1de7d5 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.