Triple
T17376167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Kediri |
E422443
|
entity |
| Predicate | hasTitleHolder |
P1911
|
FINISHED |
| Object |
Sarwweçwara
Sarwweçwara was a monarch of the medieval Javanese Kingdom of Kediri in present-day Indonesia.
|
E1265685
|
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: Sarwweçwara | Statement: [King of Kediri, hasTitleHolder, Sarwweçwara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarwweçwara Context triple: [King of Kediri, hasTitleHolder, Sarwweçwara]
-
A.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
B.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
C.
Sudharak
Sudharak was a Marathi-language social reformist periodical associated with progressive thinker Gopal Ganesh Agarkar, known for advocating rationalism and social change in late 19th-century India.
-
D.
Sarvath
Sarvath is the given name of Princess Sarvath al-Hassan, a prominent Jordanian royal and public figure.
-
E.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
- 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: Sarwweçwara Triple: [King of Kediri, hasTitleHolder, Sarwweçwara]
Generated description
Sarwweçwara was a monarch of the medieval Javanese Kingdom of Kediri in present-day Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarwweçwara Target entity description: Sarwweçwara was a monarch of the medieval Javanese Kingdom of Kediri in present-day Indonesia.
-
A.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
B.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
C.
Sudharak
Sudharak was a Marathi-language social reformist periodical associated with progressive thinker Gopal Ganesh Agarkar, known for advocating rationalism and social change in late 19th-century India.
-
D.
Sarvath
Sarvath is the given name of Princess Sarvath al-Hassan, a prominent Jordanian royal and public figure.
-
E.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6ddbd081908908b953597977d2 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ff1611c8190a17beb1e23397f02 |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a078ae4881909ee0e192032909fd |
completed | May 11, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a0d9e5348190931ee4df49563ea5 |
completed | May 11, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:45 a.m.