Triple
T6542891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Later Lê dynasty |
E168332
|
entity |
| Predicate | eraName |
P2938
|
FINISHED |
| Object |
Thiệu Bình
Thiệu Bình was a historical era name used during the Later Lê dynasty in Vietnam.
|
E604279
|
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: Thiệu Bình | Statement: [Later Lê dynasty, eraName, Thiệu Bình]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thiệu Bình Context triple: [Later Lê dynasty, eraName, Thiệu Bình]
-
A.
Trương Định Ward
Trương Định Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
-
B.
Cao Kỳ
Cao Kỳ is the given name of Nguyễn Cao Kỳ, a prominent South Vietnamese military officer and political leader during the Vietnam War era.
-
C.
Thiệu Văn Nguyễn
Thiệu Văn Nguyễn is another name for Nguyễn Văn Thiệu, the South Vietnamese military officer and politician who served as president of South Vietnam during the Vietnam War.
-
D.
Trương Đình Dzu
Trương Đình Dzu was a South Vietnamese lawyer and politician known for his outspoken advocacy of peace negotiations during the Vietnam War and his controversial candidacy in the 1967 presidential election.
-
E.
Cheng Wei
Cheng Wei is a Chinese entrepreneur best known as the founder and CEO of ride-hailing giant Didi Chuxing.
- 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: Thiệu Bình Triple: [Later Lê dynasty, eraName, Thiệu Bình]
Generated description
Thiệu Bình was a historical era name used during the Later Lê dynasty in Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thiệu Bình Target entity description: Thiệu Bình was a historical era name used during the Later Lê dynasty in Vietnam.
-
A.
Trương Định Ward
Trương Định Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
-
B.
Cao Kỳ
Cao Kỳ is the given name of Nguyễn Cao Kỳ, a prominent South Vietnamese military officer and political leader during the Vietnam War era.
-
C.
Thiệu Văn Nguyễn
Thiệu Văn Nguyễn is another name for Nguyễn Văn Thiệu, the South Vietnamese military officer and politician who served as president of South Vietnam during the Vietnam War.
-
D.
Trương Đình Dzu
Trương Đình Dzu was a South Vietnamese lawyer and politician known for his outspoken advocacy of peace negotiations during the Vietnam War and his controversial candidacy in the 1967 presidential election.
-
E.
Cheng Wei
Cheng Wei is a Chinese entrepreneur best known as the founder and CEO of ride-hailing giant Didi Chuxing.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6adeb54d88190a3199f9a517d7232 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d544f8248190bc5dd4685fb1473e |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6745b40819083fbcb2a4063e34d |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d837a5248190b0afb39174ac3922 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:50 p.m.