Triple
T27948093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Unstoppable |
E703344
|
entity |
| Predicate | musicArtistCurrentName |
P160826
|
FINISHED |
| Object | 2Baba |
—
|
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: 2Baba | Statement: [The Unstoppable, musicArtistCurrentName, 2Baba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicArtistCurrentName Context triple: [The Unstoppable, musicArtistCurrentName, 2Baba]
-
A.
hasArtistCurrentName
chosen
Indicates that the specified name is the artist’s current, officially used name.
-
B.
mainPerformerCurrentName
Indicates that the referenced name is the current official or primary name of the main performer associated with an event or work.
-
C.
musicalArtistName
Indicates that the predicate specifies the name of a musical artist associated with an entity.
-
D.
featuredArtistFormerName
Indicates that the featured artist on a work was previously known by a different name, specifying that former name.
-
E.
musicalArtistRealName
Indicates that a musical artist is known in real life by a particular personal or legal name.
- F. None of above.
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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 7:23 p.m.