Triple
T1256682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erykah Badu |
E12409
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object |
Sara Bellum
Sara Bellum is an alias used by American neo-soul singer, songwriter, and producer Erykah Badu.
|
E145419
|
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: Sara Bellum | Statement: [Erykah Badu, alias, Sara Bellum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Bellum Context triple: [Erykah Badu, alias, Sara Bellum]
-
A.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
B.
Daniela Andrade
Daniela Andrade is a Canadian singer-songwriter and YouTube artist known for her intimate acoustic covers and original indie-pop music.
-
C.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
D.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
E.
Maria Cerezo
Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
- 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: Sara Bellum Triple: [Erykah Badu, alias, Sara Bellum]
Generated description
Sara Bellum is an alias used by American neo-soul singer, songwriter, and producer Erykah Badu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Bellum Target entity description: Sara Bellum is an alias used by American neo-soul singer, songwriter, and producer Erykah Badu.
-
A.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
B.
Daniela Andrade
Daniela Andrade is a Canadian singer-songwriter and YouTube artist known for her intimate acoustic covers and original indie-pop music.
-
C.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
D.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
E.
Maria Cerezo
Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfa8cfa08190ac49c437a94a843c |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9980a2a4819094ab26ac390476be |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9bb2c42c8190b447971dcd6f68ae |
completed | March 7, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9c35aa708190932f5339d6565b20 |
completed | March 7, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:50 p.m.