Triple
T7184773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama Africa |
E167540
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Where You Gonna Run
"Where You Gonna Run" is a reggae track by South African singer and activist Miriam Makeba, featured on her album "Mama Africa."
|
E647369
|
NE FINISHED |
How this triple was built (4 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: Where You Gonna Run | Statement: [Mama Africa, hasTrack, Where You Gonna Run]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Where You Gonna Run Context triple: [Mama Africa, hasTrack, Where You Gonna Run]
-
A.
Livin' on the Run
"Livin' on the Run" is a pop-rock album by American actor and singer Scott Grimes, showcasing his melodic songwriting and vocal talents.
-
B.
Run to You
"Run to You" is a 1993 power ballad by Whitney Houston, known for its emotional vocal performance and inclusion on The Bodyguard film soundtrack.
-
C.
Run to You
"Run to You" is a 1984 rock song by Canadian singer-songwriter Bryan Adams, known for its driving guitar riff and status as one of his signature hits.
-
D.
Run to Me
"Run to Me" is a 1972 soft rock ballad by the Bee Gees, known for its lush harmonies and heartfelt lyrics.
-
E.
Nowhere to Run
"Nowhere to Run" is a 1965 Motown soul hit by Martha and the Vandellas, known for its driving beat, powerful vocals, and enduring status as a classic of the genre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Where You Gonna Run Triple: [Mama Africa, hasTrack, Where You Gonna Run]
Generated description
"Where You Gonna Run" is a reggae track by South African singer and activist Miriam Makeba, featured on her album "Mama Africa."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Where You Gonna Run Target entity description: "Where You Gonna Run" is a reggae track by South African singer and activist Miriam Makeba, featured on her album "Mama Africa."
-
A.
Livin' on the Run
"Livin' on the Run" is a pop-rock album by American actor and singer Scott Grimes, showcasing his melodic songwriting and vocal talents.
-
B.
Run to You
"Run to You" is a 1993 power ballad by Whitney Houston, known for its emotional vocal performance and inclusion on The Bodyguard film soundtrack.
-
C.
Run to You
"Run to You" is a 1984 rock song by Canadian singer-songwriter Bryan Adams, known for its driving guitar riff and status as one of his signature hits.
-
D.
Run to Me
"Run to Me" is a 1972 soft rock ballad by the Bee Gees, known for its lush harmonies and heartfelt lyrics.
-
E.
Nowhere to Run
"Nowhere to Run" is a 1965 Motown soul hit by Martha and the Vandellas, known for its driving beat, powerful vocals, and enduring status as a classic of the genre.
- F. None of above. chosen
Provenance (5 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8df6a6881909c3174f86c9a6b28 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94b058481909da9d5b21a5201de |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7b9e55f84819099af471a65bb68aa |
completed | March 28, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba9317548190946e21c2731d58a7 |
completed | March 28, 2026, 11:25 a.m. |
Created at: March 27, 2026, 2:49 p.m.