Triple
T9011104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quan Thanh Temple |
E215473
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object |
Huyen Thien Tran Vu
Huyen Thien Tran Vu is a Taoist deity venerated in Vietnamese folk religion, often associated with protection, martial power, and the northern direction.
|
E772700
|
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: Huyen Thien Tran Vu | Statement: [Quan Thanh Temple, dedicatedTo, Huyen Thien Tran Vu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huyen Thien Tran Vu Context triple: [Quan Thanh Temple, dedicatedTo, Huyen Thien Tran Vu]
-
A.
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.
-
B.
Trinh Tran
Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
-
C.
Hoang Minh Thao
Hoang Minh Thao was a prominent North Vietnamese general renowned for his strategic leadership in major campaigns during the Vietnam War.
-
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.
Oanh Nguyen
Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
- 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: Huyen Thien Tran Vu Triple: [Quan Thanh Temple, dedicatedTo, Huyen Thien Tran Vu]
Generated description
Huyen Thien Tran Vu is a Taoist deity venerated in Vietnamese folk religion, often associated with protection, martial power, and the northern direction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huyen Thien Tran Vu Target entity description: Huyen Thien Tran Vu is a Taoist deity venerated in Vietnamese folk religion, often associated with protection, martial power, and the northern direction.
-
A.
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.
-
B.
Trinh Tran
Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
-
C.
Hoang Minh Thao
Hoang Minh Thao was a prominent North Vietnamese general renowned for his strategic leadership in major campaigns during the Vietnam War.
-
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.
Oanh Nguyen
Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c1571881908d0b144786b5ee1f |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9dca848190952427bb5712081f |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc5b230881908057cc868e44ea44 |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcfc28288190b849b3f0216a7e9a |
completed | April 3, 2026, 3:30 p.m. |
Created at: March 30, 2026, 7:06 p.m.