Triple

T1627881
Position Surface form Disambiguated ID Type / Status
Subject Be E35186 entity
Predicate hasTrack P3284 FINISHED
Object It’s Your World (Part 1 & 2) E65388 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: It’s Your World (Part 1 & 2) | Statement: [Be, hasTrack, It’s Your World (Part 1 & 2)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: It’s Your World (Part 1 & 2)
Context triple: [Be, hasTrack, It’s Your World (Part 1 & 2)]
  • A. It’s Your World (Part 1 & 2) chosen
    "It’s Your World (Part 1 & 2)" is a two-part R&B/neo-soul song by Erykah Badu from her 2003 album "Worldwide Underground."
  • B. It’s Your World
    "It’s Your World" is an R&B song by American singer Jennifer Hudson, known for its empowering lyrics and soulful vocal performance.
  • C. What a World
    "What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • D. The World at One
    The World at One is a long-running BBC Radio 4 lunchtime news and current affairs programme known for in-depth political analysis and high-profile interviews.
  • E. Up in the World
    Up in the World is a 1956 British comedy film starring Norman Wisdom as a window cleaner who becomes entangled in chaotic misadventures while working at a wealthy country estate.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622ca9bc8190b99e90295cb01646 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d3808c819086a4a66e66905e8a completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.