Triple
T13222108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breaker High |
E314779
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Wendi Kenya
Wendi Kenya is an actress best known for her role on the teen comedy-drama television series "Breaker High."
|
E1027894
|
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: Wendi Kenya | Statement: [Breaker High, hasCastMember, Wendi Kenya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendi Kenya Context triple: [Breaker High, hasCastMember, Wendi Kenya]
-
A.
Wendi
Wendi is the first name of American actress and comedian Wendi McLendon-Covey, known for her roles in "Bridesmaids" and the TV series "The Goldbergs."
-
B.
Wambisa
Wambisa is an indigenous people and language group of the Amazonian region of northern Peru, known for their distinct cultural traditions and Jivaroan linguistic heritage.
-
C.
Wendy Gazelle
Wendy Gazelle is an American actress known for her work in film and television during the 1990s, including a role in the tech-thriller genre.
-
D.
Lwena
Lwena is a Bantu language spoken primarily by the Luena (Lwena) people in parts of Angola and neighboring regions of Central Africa.
-
E.
Edwena
Edwena is a feminine given name, used as an alternative spelling of Edwina.
- 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: Wendi Kenya Triple: [Breaker High, hasCastMember, Wendi Kenya]
Generated description
Wendi Kenya is an actress best known for her role on the teen comedy-drama television series "Breaker High."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wendi Kenya Target entity description: Wendi Kenya is an actress best known for her role on the teen comedy-drama television series "Breaker High."
-
A.
Wendi
Wendi is the first name of American actress and comedian Wendi McLendon-Covey, known for her roles in "Bridesmaids" and the TV series "The Goldbergs."
-
B.
Wambisa
Wambisa is an indigenous people and language group of the Amazonian region of northern Peru, known for their distinct cultural traditions and Jivaroan linguistic heritage.
-
C.
Wendy Gazelle
Wendy Gazelle is an American actress known for her work in film and television during the 1990s, including a role in the tech-thriller genre.
-
D.
Lwena
Lwena is a Bantu language spoken primarily by the Luena (Lwena) people in parts of Angola and neighboring regions of Central Africa.
-
E.
Edwena
Edwena is a feminine given name, used as an alternative spelling of Edwina.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff24be9881908b96f3e72325e55f |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7001924d48190af7d430cb258409a |
completed | May 3, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f700cfb43881909c903ec12b15065a |
completed | May 3, 2026, 8:01 a.m. |
Created at: April 9, 2026, 9:18 p.m.