Triple
T14516543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DannyBoyStyles |
E340533
|
entity |
| Predicate | notableSongProduced |
P8087
|
FINISHED |
| Object | Belong to the World |
E1061438
|
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: Belong to the World | Statement: [DannyBoyStyles, notableSongProduced, Belong to the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belong to the World Context triple: [DannyBoyStyles, notableSongProduced, Belong to the World]
-
A.
Belong to the World
chosen
"Belong to the World" is a dark, atmospheric R&B song by The Weeknd that explores themes of obsession and emotional dependence.
-
B.
Back to the World
Back to the World is a 1973 soul and funk album by Curtis Mayfield that continues his socially conscious, politically charged musical themes.
-
C.
Belong
Belong is an Australian low-cost mobile and internet service provider brand owned by Telstra.
-
D.
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.
-
E.
In This World
In This World is a 2002 British docudrama film directed by Michael Winterbottom that follows two Afghan refugees on a perilous journey from Pakistan to the United Kingdom.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6f50208190b687b505f5cd1aa2 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da80dc88190afa96760efb0c7de |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.