Triple

T16461671
Position Surface form Disambiguated ID Type / Status
Subject The News Agents E399820 entity
Predicate publisher P29 FINISHED
Object Global E399819 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: Global | Statement: [The News Agents, publisher, Global]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Global
Context triple: [The News Agents, publisher, Global]
  • A. Global chosen
    Global is a major UK-based media and entertainment company best known for owning and operating prominent radio brands and digital audio platforms.
  • B. Worldwide
    Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
  • C. 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.
  • D. All-World
    All-World is the sprawling, post-apocalyptic fantasy universe in Stephen King’s Dark Tower series, where multiple realities intersect around the quest for the Dark Tower.
  • E. Focus World
    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.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d819d548190bc76a0ec2e223437 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581a11e881908681f68c26ee6a05 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.