Triple
T21019666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uni5: The World’s Enemy |
E517772
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Wanna Be |
—
|
NE NERFINISHED |
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: Wanna Be | Statement: [Uni5: The World’s Enemy, hasPart, Wanna Be]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanna Be Context triple: [Uni5: The World’s Enemy, hasPart, Wanna Be]
-
A.
Wanna Be
chosen
"Wanna Be" is a track by the electronic music collective Hive Mind, reflecting their experimental, atmospheric sound.
-
B.
I Wanna Be
"I Wanna Be" is a hip-hop track featured on the album *Tell 'Em Why U Madd* by the Ruff Ryders collective.
-
C.
I Wanna Be
"I Wanna Be" is a song featured on the collaborative blues-rock album "Riding with the King" by B.B. King and Eric Clapton.
-
D.
Who I Wanna Be
"Who I Wanna Be" is a song that predates and is associated with Meghan Trainor’s breakout hit era surrounding "All About That Bass."
-
E.
Where I Wanna Be
"Where I Wanna Be" is an R&B song and album by Donell Jones, best known for its smooth, soulful sound and introspective lyrics about love and relationships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5b6af4819081fd3aa5212f17a5 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.