Triple
T22092413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dawn (2012 film) |
E545942
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Alyssa Diaz
Alyssa Diaz is an American actress known for her roles in film and television, including appearances in series like "The Rookie" and "Ray Donovan."
|
E1519183
|
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: Alyssa Diaz | Statement: [Red Dawn (2012 film), castMember, Alyssa Diaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alyssa Diaz Context triple: [Red Dawn (2012 film), castMember, Alyssa Diaz]
-
A.
Alyssa Cuban
Alyssa Cuban is the daughter of American billionaire entrepreneur and Dallas Mavericks owner Mark Cuban and his wife Tiffany Stewart.
-
B.
Alyssa Lobit
Alyssa Lobit is an American screenwriter, producer, and actress known for her work in independent genre films.
-
C.
Jessica Sula
Jessica Sula is a Welsh actress best known for her roles in the British teen drama "Skins" and various American film and television projects.
-
D.
Briana DeJesus
Briana DeJesus is a reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
-
E.
Alyssa Campanella
Alyssa Campanella is an American model, blogger, and beauty queen best known for winning Miss USA 2011.
- 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: Alyssa Diaz Triple: [Red Dawn (2012 film), castMember, Alyssa Diaz]
Generated description
Alyssa Diaz is an American actress known for her roles in film and television, including appearances in series like "The Rookie" and "Ray Donovan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alyssa Diaz Target entity description: Alyssa Diaz is an American actress known for her roles in film and television, including appearances in series like "The Rookie" and "Ray Donovan."
-
A.
Alyssa Cuban
Alyssa Cuban is the daughter of American billionaire entrepreneur and Dallas Mavericks owner Mark Cuban and his wife Tiffany Stewart.
-
B.
Alyssa Lobit
Alyssa Lobit is an American screenwriter, producer, and actress known for her work in independent genre films.
-
C.
Jessica Sula
Jessica Sula is a Welsh actress best known for her roles in the British teen drama "Skins" and various American film and television projects.
-
D.
Briana DeJesus
Briana DeJesus is a reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom franchise.
-
E.
Alyssa Campanella
Alyssa Campanella is an American model, blogger, and beauty queen best known for winning Miss USA 2011.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a879b9130819089f8e2b7106f875b |
completed | May 18, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_6a0a891eb0708190a4575a01f45b98aa |
completed | May 18, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a89977c8c8190a5c87d1c2b68ed48 |
completed | May 18, 2026, 3:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.