Triple

T7877361
Position Surface form Disambiguated ID Type / Status
Subject Rule the World E182889 entity
Predicate hasTitle P38 FINISHED
Object Rule the World E182889 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: Rule the World | Statement: [Rule the World, hasTitle, Rule the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rule the World
Context triple: [Rule the World, hasTitle, Rule the World]
  • A. Rule the World chosen
    "Rule the World" is a hit pop ballad by British boy band Take That, best known for its use in the 2007 fantasy film "Stardust" and for becoming one of the group's signature songs.
  • B. The New Rulers of the World
    The New Rulers of the World is a documentary film and book by journalist John Pilger that investigates the impacts of globalization, corporate power, and Western foreign policy on developing countries.
  • C. What a World
    "What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • D. Against the World
    "Against the World" is a song by the American pop-rock band Hanson.
  • E. Half of the World
    Half of the World is a famous nickname for the Iranian city of Isfahan, highlighting its historical grandeur, architectural splendor, and cultural significance.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bc07208190aa452cef8ca5b0d6 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf9535c48190a73653a773553d01 completed March 31, 2026, 2:52 p.m.
Created at: March 30, 2026, 4:57 p.m.