Triple
T1226209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JHUD |
E26331
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | It’s Your World |
E140764
|
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 | Statement: [JHUD, notableTrack, It’s Your World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It’s Your World Context triple: [JHUD, notableTrack, It’s Your World]
-
A.
It’s Your World
chosen
"It’s Your World" is an R&B song by American singer Jennifer Hudson, known for its empowering lyrics and soulful vocal performance.
-
B.
It’s Your World (Part 1 & 2)
"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."
-
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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f7391408190928cab62e34aa361 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:47 p.m.