Triple
T7436396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Brothers |
E171625
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Oanh Nguyen
Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
|
E663449
|
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: Oanh Nguyen | Statement: [Two Brothers, hasCastMember, Oanh Nguyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oanh Nguyen Context triple: [Two Brothers, hasCastMember, Oanh Nguyen]
-
A.
Quyen Tran
Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
-
B.
Tung Thanh Tran
Tung Thanh Tran is an actor best known for his role in the 1987 war-comedy film "Good Morning, Vietnam."
-
C.
Ngoc Lan Tran
Ngoc Lan Tran is a key character in the satirical sci-fi film "Downsizing," portrayed as a Vietnamese activist who becomes central to the protagonist’s emotional and moral journey.
-
D.
Thanh Thai Nguyen
Thanh Thai Nguyen is a Vietnamese-born American prelate of the Roman Catholic Church who serves as coadjutor bishop of the Diocese of Orange in California.
-
E.
Bao Nguyen
Bao Nguyen is a Vietnamese American filmmaker known for his acclaimed documentaries and contributions to Asian American and international 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: Oanh Nguyen Triple: [Two Brothers, hasCastMember, Oanh Nguyen]
Generated description
Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oanh Nguyen Target entity description: Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
-
A.
Quyen Tran
Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
-
B.
Tung Thanh Tran
Tung Thanh Tran is an actor best known for his role in the 1987 war-comedy film "Good Morning, Vietnam."
-
C.
Ngoc Lan Tran
Ngoc Lan Tran is a key character in the satirical sci-fi film "Downsizing," portrayed as a Vietnamese activist who becomes central to the protagonist’s emotional and moral journey.
-
D.
Thanh Thai Nguyen
Thanh Thai Nguyen is a Vietnamese-born American prelate of the Roman Catholic Church who serves as coadjutor bishop of the Diocese of Orange in California.
-
E.
Bao Nguyen
Bao Nguyen is a Vietnamese American filmmaker known for his acclaimed documentaries and contributions to Asian American and international 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f228014819088220b2cefc3ee41 |
completed | March 28, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_69c81febb48c8190893a78608027a4c7 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82112c894819096101fb506af7432 |
completed | March 28, 2026, 6:42 p.m. |
Created at: March 27, 2026, 3:13 p.m.