Triple
T37054950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Wanna Know |
E917151
|
entity |
| Predicate | hasRappedVerseBy |
P114594
|
FINISHED |
| Object | Kendrick Lamar |
—
|
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: Kendrick Lamar | Statement: [Don't Wanna Know, hasRappedVerseBy, Kendrick Lamar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRappedVerseBy Context triple: [Don't Wanna Know, hasRappedVerseBy, Kendrick Lamar]
-
A.
hasRapAlterEgoOf
Indicates that one entity is the rap-stage persona or alter ego used by another entity.
-
B.
hasRapSectionBy
chosen
Indicates that something (such as a song or track) contains a rap section performed or created by a specified artist or entity.
-
C.
hasRapVocals
Indicates that an entity (such as a song, track, or performance) contains rap-style vocal parts or rapping.
-
D.
hasWrittenLyricsFor
Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another entity.
-
E.
hasLyricalWritingFor
Indicates that one entity provides or is characterized by lyrical or poetic writing created for another entity.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:14 p.m.