Triple
T3155104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kill Your Mama |
E65965
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Kill Your Mama |
E65965
|
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: Kill Your Mama | Statement: [Kill Your Mama, hasTitle, Kill Your Mama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kill Your Mama Context triple: [Kill Your Mama, hasTitle, Kill Your Mama]
-
A.
Kill Your Mama
chosen
"Kill Your Mama" is a song whose provocative title suggests themes of rebellion or dark humor, likely within a rock, punk, or alternative music context.
-
B.
Mama Killa
Mama Killa is the Incan moon goddess, revered as a protector of women and regulator of time through the lunar calendar.
-
C.
Tell Mama
"Tell Mama" is a 1967 soul and R&B song by Etta James, celebrated for its powerful vocals and status as one of her signature hits.
-
D.
Dear Mama
"Dear Mama" is a heartfelt 1995 hip-hop song by Tupac Shakur that pays tribute to his mother and is widely regarded as one of his most iconic and emotional works.
-
E.
That’s My Bitch
“That’s My Bitch” is a hip-hop track by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its energetic production and commentary on race and beauty standards.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5e97548819084643586fff2e3cb |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b225068444819080e2b8b6b1260613 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.