Triple
T14257644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raden Patah |
E353425
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Raden
Raden is an Indonesian noble title traditionally used to denote aristocratic or royal status, particularly in Javanese culture.
|
E1090207
|
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: Raden | Statement: [Raden Patah, title, Raden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raden Context triple: [Raden Patah, title, Raden]
-
A.
Sadanaru
Sadanaru is a Japanese given name historically borne by members of the imperial family, including Prince Fushimi Sadanaru.
-
B.
Barakude
Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
-
C.
Shapuri
Shapuri is a regional dialect of the Lahnda (Western Punjabi) language spoken in parts of Pakistan’s Punjab region.
-
D.
Prince Toneri
Prince Toneri was an 8th-century Japanese imperial prince and scholar best known for overseeing the compilation of the historical chronicle Nihon Shoki.
-
E.
Roi
Roi is a given name and surname used in various cultures, often derived from words meaning "king" or denoting leadership and prominence.
- 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: Raden Triple: [Raden Patah, title, Raden]
Generated description
Raden is an Indonesian noble title traditionally used to denote aristocratic or royal status, particularly in Javanese culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raden Target entity description: Raden is an Indonesian noble title traditionally used to denote aristocratic or royal status, particularly in Javanese culture.
-
A.
Sadanaru
Sadanaru is a Japanese given name historically borne by members of the imperial family, including Prince Fushimi Sadanaru.
-
B.
Barakude
Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
-
C.
Shapuri
Shapuri is a regional dialect of the Lahnda (Western Punjabi) language spoken in parts of Pakistan’s Punjab region.
-
D.
Prince Toneri
Prince Toneri was an 8th-century Japanese imperial prince and scholar best known for overseeing the compilation of the historical chronicle Nihon Shoki.
-
E.
Roi
Roi is a given name and surname used in various cultures, often derived from words meaning "king" or denoting leadership and prominence.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6352611c819090d062fe3079cd03 |
completed | April 14, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325f213881909acf776ff4831c30 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd3417e8e88190b099bfe4ba30f364 |
completed | May 8, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd37df3dfc8190a594abb2c14e11bb |
completed | May 8, 2026, 1:09 a.m. |
Created at: April 10, 2026, 1:09 a.m.