Triple
T5580822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama’s Gun |
E146634
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Cleva |
E532113
|
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: Cleva | Statement: [Mama’s Gun, hasSingle, Cleva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleva Context triple: [Mama’s Gun, hasSingle, Cleva]
-
A.
Cleva
chosen
"Cleva" is a soulful neo-soul track by Erykah Badu from her acclaimed 2000 album "Mama’s Gun."
-
B.
Clevian
Clevian is a regional dialect of the South Guelderish variety of Low Franconian spoken in parts of the Lower Rhine area.
-
C.
Clevsin
Clevsin is the ancient Etruscan name for the Italian town of Chiusi, a significant center of Etruscan civilization in central Italy.
-
D.
Vacone
Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
-
E.
Kierling
Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208147a48190b2cdb42b9c9814a3 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d26856c8190bdda69a049df1c10 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:37 p.m.