Triple
T5546471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erykah Badu |
E145419
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Sara Bellum |
E145419
|
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: Sara Bellum | Statement: [Erykah Badu, hasAlias, Sara Bellum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Bellum Context triple: [Erykah Badu, hasAlias, Sara Bellum]
-
A.
Sara Bellum
chosen
Sara Bellum is an alias used by American neo-soul singer, songwriter, and producer Erykah Badu.
-
B.
Mercedes Torres
Mercedes Torres was the mother of Chilean politician and former president Manuel Montt.
-
C.
Angel Reyes
Angel Reyes is a central outlaw biker and complex antihero in the crime drama series "Mayans M.C.," known for his conflicted loyalties, family ties, and involvement in the Mayans Motorcycle Club.
-
D.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
E.
Daniela Andrade
Daniela Andrade is a Canadian singer-songwriter and YouTube artist known for her intimate acoustic covers and original indie-pop music.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fdec3588190b0af7d2ca8e8ee9b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02826d84c8190a745e891ac2cccb8 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.