Triple
T12425607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expend4bles |
E296890
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Levy Tran
Levy Tran is an American actress and model known for her roles in action films and television series such as "The Haunting of Hill House" and "MacGyver."
|
E980578
|
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: Levy Tran | Statement: [Expend4bles, hasCastMember, Levy Tran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levy Tran Context triple: [Expend4bles, hasCastMember, Levy Tran]
-
A.
Quyen Tran
Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
-
B.
Ellison Nguyen
Ellison Nguyen is the child of Pulitzer Prize–winning Vietnamese American author and scholar Viet Thanh Nguyen.
-
C.
Patrick Y. Lee
Patrick Y. Lee is an entrepreneur best known as one of the co-founders of the film and television review aggregation website Rotten Tomatoes.
-
D.
Tung Thanh Tran
Tung Thanh Tran is an actor best known for his role in the 1987 war-comedy film "Good Morning, Vietnam."
-
E.
David Luan
David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
- 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: Levy Tran Triple: [Expend4bles, hasCastMember, Levy Tran]
Generated description
Levy Tran is an American actress and model known for her roles in action films and television series such as "The Haunting of Hill House" and "MacGyver."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Levy Tran Target entity description: Levy Tran is an American actress and model known for her roles in action films and television series such as "The Haunting of Hill House" and "MacGyver."
-
A.
Quyen Tran
Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
-
B.
Ellison Nguyen
Ellison Nguyen is the child of Pulitzer Prize–winning Vietnamese American author and scholar Viet Thanh Nguyen.
-
C.
Patrick Y. Lee
Patrick Y. Lee is an entrepreneur best known as one of the co-founders of the film and television review aggregation website Rotten Tomatoes.
-
D.
Tung Thanh Tran
Tung Thanh Tran is an actor best known for his role in the 1987 war-comedy film "Good Morning, Vietnam."
-
E.
David Luan
David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7b6bd08190b30beba393a5b1e7 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349716fc8190997b54a50d29827a |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f6356ce3f4819087d1703db655cbb4 |
completed | May 2, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63693f5c881909a9683a0c6a68739 |
completed | May 2, 2026, 5:38 p.m. |
Created at: April 8, 2026, 9:55 p.m.