Triple
T1630915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Registration |
E35253
|
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.
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.
-
C.
Who We Be
"Who We Be" is a socially conscious hip-hop track by DMX that reflects on identity, struggle, and systemic injustice through a rapid-fire list-style lyrical delivery.
-
D.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
E.
Who Dey
Who Dey is the tiger mascot and rallying cry figure associated with the NFL’s Cincinnati Bengals, central to the team’s fan culture and game-day identity.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f5ae98819091ce5e00eb4256a2 |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d79bc88190bfc62f53dd8e8b90 |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.