Triple

T12869547
Position Surface form Disambiguated ID Type / Status
Subject Maps to the Stars E307810 entity
Predicate distributedBy 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: [Maps to the Stars, distributedBy, Focus World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Focus World
Context triple: [Maps to the Stars, distributedBy, 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 pop ballad by the American boy band Big Time Rush, known for its emotional lyrics and prominent feature in their TV series.
  • C. Worldwide
    Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
  • D. Global
    Global is a major UK-based media and entertainment company best known for owning and operating prominent radio brands and digital audio platforms.
  • E. 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.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.