Triple
T21680770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In All My Wildest Dreams |
E535101
|
entity |
| Predicate | usedAsSampleIn |
P13406
|
FINISHED |
| Object | Dear Mama |
—
|
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: Dear Mama | Statement: [In All My Wildest Dreams, usedAsSampleIn, Dear Mama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Mama Context triple: [In All My Wildest Dreams, usedAsSampleIn, Dear Mama]
-
A.
Dear Mama
chosen
"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.
-
B.
Dear Mama
"Dear Mama" is a country song performed by Merle Kilgore, reflecting heartfelt themes of maternal love and gratitude.
-
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.
Momma
Momma is a track featured on the hip-hop album "Yellow Tape."
-
E.
Momma
"Momma" is a reflective, jazz-infused hip-hop track by Kendrick Lamar from his critically acclaimed album *To Pimp a Butterfly*, exploring themes of identity, home, and self-discovery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a12adf08190b9b450eb26a1f33c |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:43 p.m.