Triple
T13744281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Registration |
E330173
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Hey Mama |
E65302
|
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: Hey Mama | Statement: [Late Registration, hasTrack, Hey Mama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hey Mama Context triple: [Late Registration, hasTrack, Hey Mama]
-
A.
Hey Mama
chosen
"Hey Mama" is an emotional hip-hop song by Kanye West dedicated to his mother, celebrating her sacrifices and their close relationship.
-
B.
Hey Mama
"Hey Mama" is a hit hip hop/dance-pop single by the Black Eyed Peas known for its reggae-influenced sound and prominent use in early 2000s media and advertising.
-
C.
Hey Mama
"Hey Mama" is a soulful, roots-influenced track by Nathaniel Rateliff & The Night Sweats that blends heartfelt lyrics with their signature retro-tinged rock and R&B sound.
-
D.
Hey Mama
"Hey Mama" is a popular electronic dance track by Afrojack, best known for its energetic beat and club-friendly production.
-
E.
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.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de020855ec8190a60fa1cb761f2e68 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8501890819081152bc2e9c06836 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.