Triple
T11020350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StreetDance 2 |
E260470
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Stephanie Nguyen
Stephanie Nguyen is a dancer and actress known for her role in the international street dance film "StreetDance 2."
|
E899697
|
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: Stephanie Nguyen | Statement: [StreetDance 2, castMember, Stephanie Nguyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanie Nguyen Context triple: [StreetDance 2, castMember, Stephanie Nguyen]
-
A.
Diane Nguyen
Diane Nguyen is a thoughtful, socially conscious Vietnamese-American writer and one of the main characters in the animated series "BoJack Horseman."
-
B.
Ngoc Le
Ngoc Le is an actor known for appearing in Stanley Kubrick’s Vietnam War film "Full Metal Jacket."
-
C.
Trinh Tran
Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
-
D.
Bao Nguyen
Bao Nguyen is a Vietnamese American filmmaker known for his acclaimed documentaries and contributions to Asian American and international cinema.
-
E.
LeUyen Pham
LeUyen Pham is a Vietnamese-American illustrator and author best known for her work on popular children's books and graphic novels.
- 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: Stephanie Nguyen Triple: [StreetDance 2, castMember, Stephanie Nguyen]
Generated description
Stephanie Nguyen is a dancer and actress known for her role in the international street dance film "StreetDance 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephanie Nguyen Target entity description: Stephanie Nguyen is a dancer and actress known for her role in the international street dance film "StreetDance 2."
-
A.
Diane Nguyen
Diane Nguyen is a thoughtful, socially conscious Vietnamese-American writer and one of the main characters in the animated series "BoJack Horseman."
-
B.
Ngoc Le
Ngoc Le is an actor known for appearing in Stanley Kubrick’s Vietnam War film "Full Metal Jacket."
-
C.
Trinh Tran
Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
-
D.
Bao Nguyen
Bao Nguyen is a Vietnamese American filmmaker known for his acclaimed documentaries and contributions to Asian American and international cinema.
-
E.
LeUyen Pham
LeUyen Pham is a Vietnamese-American illustrator and author best known for her work on popular children's books and graphic novels.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374e550508190aa3779191196f329 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.