Triple
T32447305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jirgalang |
E829182
|
entity |
| Predicate | successorAsPrinceZheng |
P116319
|
FINISHED |
| Object |
Jidu
Jidu was a Qing dynasty Manchu prince who inherited the prestigious Prince Zheng title, continuing the influential political and military legacy of his predecessor Jirgalang.
|
E2007798
|
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: Jidu | Statement: [Jirgalang, successorAsPrinceZheng, Jidu]
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: Jidu Triple: [Jirgalang, successorAsPrinceZheng, Jidu]
Generated description
Jidu was a Qing dynasty Manchu prince who inherited the prestigious Prince Zheng title, continuing the influential political and military legacy of his predecessor Jirgalang.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsPrinceZheng Context triple: [Jirgalang, successorAsPrinceZheng, Jidu]
-
A.
successorAsPrince
chosen
Indicates that one individual directly follows another in holding the title or role of prince.
-
B.
successorAsCrownPrince
Indicates that one person becomes the next crown prince, directly succeeding another in that royal position.
-
C.
successorAsEasternRuler
Indicates that one entity became the next ruler of an eastern domain or territory after another entity.
-
D.
successorAsKingOfKings
Indicates that one entity directly follows another in holding the title or role of King of Kings.
-
E.
predecessorAsCrownPrince
Indicates that one entity previously held the position of crown prince immediately before another entity.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a346678b660819082bf871b00b4fb26 |
completed | June 18, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a34674302f081908ce094e58ee8360c |
completed | June 18, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3468279dbc8190b5efcecd6f4aa23c |
completed | June 18, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: May 1, 2026, 12:56 a.m.