Triple
T21288094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseline Hernandez |
E524714
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Joseline
Joseline is a Puerto Rican-American reality television personality, rapper, and actress best known for her role on VH1's "Love & Hip Hop: Atlanta."
|
E1476247
|
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: Joseline | Statement: [Joseline Hernandez, givenName, Joseline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseline Context triple: [Joseline Hernandez, givenName, Joseline]
-
A.
Sheyla
Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
-
B.
Lizette
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
-
C.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
-
D.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
-
E.
Eliana
Eliana is a feminine given name of Hebrew and Latin origin, often interpreted to mean "God has answered" or "my God has answered."
- 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: Joseline Triple: [Joseline Hernandez, givenName, Joseline]
Generated description
Joseline is a Puerto Rican-American reality television personality, rapper, and actress best known for her role on VH1's "Love & Hip Hop: Atlanta."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseline Target entity description: Joseline is a Puerto Rican-American reality television personality, rapper, and actress best known for her role on VH1's "Love & Hip Hop: Atlanta."
-
A.
Sheyla
Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
-
B.
Lizette
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
-
C.
Marlen
Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
-
D.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
-
E.
Eliana
Eliana is a feminine given name of Hebrew and Latin origin, often interpreted to mean "God has answered" or "my God has answered."
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09980c3fbc8190aefe065a0d6cd8b5 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998a3326481908a4dfddfb7b2ecd9 |
completed | May 17, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09996c8d7c81908cc9874f6e1a3fff |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:03 p.m.