Triple
T5554193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clea DuVall |
E145596
|
entity |
| Predicate | spouseOrPartner |
P13
|
FINISHED |
| Object |
Misti Traya
Misti Traya is an American actress known for her roles in film and television, including the series "Huff."
|
E536095
|
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: Misti Traya | Statement: [Clea DuVall, spouseOrPartner, Misti Traya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misti Traya Context triple: [Clea DuVall, spouseOrPartner, Misti Traya]
-
A.
Trina
Trina is an American rapper known for her sexually explicit lyrics, confident persona, and influential role in Southern hip hop, particularly Miami’s rap scene.
-
B.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
-
C.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
-
D.
Tricia
Tricia is a feminine given name commonly used as a shortened or informal form of Patricia.
-
E.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
- 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: Misti Traya Triple: [Clea DuVall, spouseOrPartner, Misti Traya]
Generated description
Misti Traya is an American actress known for her roles in film and television, including the series "Huff."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Misti Traya Target entity description: Misti Traya is an American actress known for her roles in film and television, including the series "Huff."
-
A.
Trina
Trina is an American rapper known for her sexually explicit lyrics, confident persona, and influential role in Southern hip hop, particularly Miami’s rap scene.
-
B.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
-
C.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
-
D.
Tricia
Tricia is a feminine given name commonly used as a shortened or informal form of Patricia.
-
E.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ff9c9c48190b5e587d58c6515d8 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d01a9948190a033947c7c031e04 |
completed | March 22, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_69c04e8422dc8190879ee52bd6850565 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3963888190b1c85b3bb9ff5d44 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:36 p.m.