Triple
T9280836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dulcé Sloan |
E223061
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Dulcé Sloan
Dulcé Sloan is an American stand-up comedian, actress, and correspondent best known for her work on "The Daily Show."
|
E789893
|
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: Dulcé Sloan | Statement: [Dulcé Sloan, name, Dulcé Sloan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dulcé Sloan Context triple: [Dulcé Sloan, name, Dulcé Sloan]
-
A.
Everly Carganilla
Everly Carganilla is a young American child actress known for roles in film and television, including the Netflix series "The Chair."
-
B.
Kismet Delgado
Kismet Delgado was the wife of British actor Roger Delgado, best known for his role as the original Master in the television series Doctor Who.
-
C.
Tess Nazario
Tess Nazario is a fictional character portrayed by actress Drea de Matteo, known from the crime drama television series "Shades of Blue."
-
D.
Dulce María Loynaz
Dulce María Loynaz was a renowned Cuban poet and writer, celebrated as one of the most important voices in 20th-century Cuban and Latin American literature.
-
E.
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.
- 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: Dulcé Sloan Triple: [Dulcé Sloan, name, Dulcé Sloan]
Generated description
Dulcé Sloan is an American stand-up comedian, actress, and correspondent best known for her work on "The Daily Show."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dulcé Sloan Target entity description: Dulcé Sloan is an American stand-up comedian, actress, and correspondent best known for her work on "The Daily Show."
-
A.
Everly Carganilla
Everly Carganilla is a young American child actress known for roles in film and television, including the Netflix series "The Chair."
-
B.
Kismet Delgado
Kismet Delgado was the wife of British actor Roger Delgado, best known for his role as the original Master in the television series Doctor Who.
-
C.
Tess Nazario
Tess Nazario is a fictional character portrayed by actress Drea de Matteo, known from the crime drama television series "Shades of Blue."
-
D.
Dulce María Loynaz
Dulce María Loynaz was a renowned Cuban poet and writer, celebrated as one of the most important voices in 20th-century Cuban and Latin American literature.
-
E.
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.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cd9a1c8190af0521baa428ce10 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b209a5b48190a7e6d983bcda5363 |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b3548dd881908adadf4a728cec50 |
completed | April 4, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b4083da88190ab996ee53bf5ff16 |
completed | April 4, 2026, 6:47 a.m. |
Created at: March 30, 2026, 7:34 p.m.