Triple
T32594071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trần Cảnh |
E833149
|
entity |
| Predicate | abdicatingInFavorOf |
P7967
|
FINISHED |
| Object |
Trần Hoảng
Trần Hoảng, better known as Emperor Trần Thánh Tông, was a 13th-century Vietnamese monarch of the Trần dynasty who strengthened Đại Việt and later became a retired emperor after passing the throne to his son.
|
E2014130
|
NE FINISHED |
How this triple was built (3 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: Trần Hoảng | Statement: [Trần Cảnh, abdicatingInFavorOf, Trần Hoảng]
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: Trần Hoảng Triple: [Trần Cảnh, abdicatingInFavorOf, Trần Hoảng]
Generated description
Trần Hoảng, better known as Emperor Trần Thánh Tông, was a 13th-century Vietnamese monarch of the Trần dynasty who strengthened Đại Việt and later became a retired emperor after passing the throne to his son.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abdicatingInFavorOf Context triple: [Trần Cảnh, abdicatingInFavorOf, Trần Hoảng]
-
A.
abdicatedInFavorOf
chosen
Indicates that one entity has voluntarily renounced a position, role, or right so that another specific entity may assume it.
-
B.
abdicatedFrom
Indicates that a person has formally renounced or given up a position of authority, office, or throne associated with a particular entity or domain.
-
C.
abdicatedDuring
Indicates that a ruler or officeholder gave up their position or authority during a specified event or time period.
-
D.
abdicatedAt
Indicates the time or date at which an entity formally gave up or resigned from a position of authority or responsibility.
-
E.
abdicationStatus
Indicates the status of an entity’s formal renunciation or relinquishment of a position, role, or authority.
- F. None of above.
Provenance (6 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c693fbfc8190ac7a90914510e2d7 |
completed | May 3, 2026, 3:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34860d800481909a398bf17724f618 |
completed | June 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a3486911d8c8190983388d7191b4d77 |
completed | June 19, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a3487efeb248190b0d48dc5266c3927 |
completed | June 19, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:05 a.m.