Triple
T13779906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Total Divas |
E331105
|
entity |
| Predicate | features |
P997
|
FINISHED |
| Object |
Carmella
Carmella is an American professional wrestler and television personality best known for her work with WWE and appearances on the reality series Total Divas.
|
E1060853
|
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: Carmella | Statement: [Total Divas, features, Carmella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmella Context triple: [Total Divas, features, Carmella]
-
A.
Carmella DeCesare
Carmella DeCesare is an American model and former Playboy Playmate who gained prominence as Playboy's Playmate of the Year in 2004.
-
B.
Adrienne Lubeau
Adrienne Lubeau is known as the former wife of influential American street photographer Garry Winogrand.
-
C.
Carmela
Carmela is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking countries and often associated with religious and cultural traditions.
-
D.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
E.
Drisella
Drisella is one of Cinderella’s vain and spiteful stepsisters in Disney’s 2015 live-action adaptation of the classic fairy tale.
- 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: Carmella Triple: [Total Divas, features, Carmella]
Generated description
Carmella is an American professional wrestler and television personality best known for her work with WWE and appearances on the reality series Total Divas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carmella Target entity description: Carmella is an American professional wrestler and television personality best known for her work with WWE and appearances on the reality series Total Divas.
-
A.
Carmella DeCesare
Carmella DeCesare is an American model and former Playboy Playmate who gained prominence as Playboy's Playmate of the Year in 2004.
-
B.
Adrienne Lubeau
Adrienne Lubeau is known as the former wife of influential American street photographer Garry Winogrand.
-
C.
Carmela
Carmela is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking countries and often associated with religious and cultural traditions.
-
D.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
E.
Drisella
Drisella is one of Cinderella’s vain and spiteful stepsisters in Disney’s 2015 live-action adaptation of the classic fairy tale.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07670b08190a205d3c7ccb9dded |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b0f912f081908084042860c922cb |
completed | May 3, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b16a43188190968d5cdf32e447ec |
completed | May 3, 2026, 8:34 p.m. |
Created at: April 9, 2026, 10:11 p.m.