Triple
T8763578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truthfully |
E208266
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | My World 2.0 |
E361192
|
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: My World 2.0 | Statement: [Truthfully, partOf, My World 2.0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My World 2.0 Context triple: [Truthfully, partOf, My World 2.0]
-
A.
My World
"My World" is a track by Kid Cudi from his debut studio album "Man on the Moon: The End of Day."
-
B.
My World
"My World" is a controversial, experimental closing track by Guns N' Roses that blends hard rock with industrial and hip-hop influences.
-
C.
My World
chosen
"My World" is Justin Bieber's debut EP that helped launch him to international fame with its pop and R&B-influenced tracks.
-
D.
New World
New World is a South Korean crime thriller film in which Lee Jung-jae plays a central role in a tense story of undercover operations and power struggles within a powerful crime syndicate.
-
E.
New World
The New World refers to the Western Hemisphere, especially the Americas, as distinguished from the Old World of Europe, Asia, and Africa.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfdef9881908a7f079d87e8e338 |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5197263881908038b5e2105e9170 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:40 p.m.