Triple

T4147040
Position Surface form Disambiguated ID Type / Status
Subject Jayabaya E89809 entity
Predicate predecessor P97 FINISHED
Object Kameswara
Kameswara was a king of the Kediri (Kadiri) kingdom in East Java, Indonesia, known from Javanese historical traditions as one of the early rulers in the succession that included the famed King Jayabaya.
E414860 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: Kameswara | Statement: [Jayabaya, predecessor, Kameswara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kameswara
Context triple: [Jayabaya, predecessor, Kameswara]
  • A. Shanmukha
    Shanmukha is a revered Hindu deity of war and victory, widely worshipped as the six-faced son of Shiva and Parvati.
  • B. Karpagambal
    Karpagambal is the Hindu goddess Parvati worshipped as the consort of Lord Shiva at the Kapaleeshwarar Temple in Mylapore, Chennai.
  • C. Mrigadava
    Mrigadava is the ancient deer park near Sarnath in India where Gautama Buddha is said to have delivered his first sermon.
  • D. Narayana
    Narayana is a revered name of the Hindu god Vishnu, especially associated with his role as the supreme preserver and sustainer of the universe.
  • E. Shankara
    Shankara is a revered epithet of the Hindu god Shiva, highlighting his role as a benevolent and auspicious divine benefactor.
  • 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: Kameswara
Triple: [Jayabaya, predecessor, Kameswara]
Generated description
Kameswara was a king of the Kediri (Kadiri) kingdom in East Java, Indonesia, known from Javanese historical traditions as one of the early rulers in the succession that included the famed King Jayabaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kameswara
Target entity description: Kameswara was a king of the Kediri (Kadiri) kingdom in East Java, Indonesia, known from Javanese historical traditions as one of the early rulers in the succession that included the famed King Jayabaya.
  • A. Shanmukha
    Shanmukha is a revered Hindu deity of war and victory, widely worshipped as the six-faced son of Shiva and Parvati.
  • B. Karpagambal
    Karpagambal is the Hindu goddess Parvati worshipped as the consort of Lord Shiva at the Kapaleeshwarar Temple in Mylapore, Chennai.
  • C. Mrigadava
    Mrigadava is the ancient deer park near Sarnath in India where Gautama Buddha is said to have delivered his first sermon.
  • D. Narayana
    Narayana is a revered name of the Hindu god Vishnu, especially associated with his role as the supreme preserver and sustainer of the universe.
  • E. Shankara
    Shankara is a revered epithet of the Hindu god Shiva, highlighting his role as a benevolent and auspicious divine benefactor.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af026130bc8190ae3b0e9bec5ccad6 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576d5379081908300afbb3a6fe5e4 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b577c2b784819096d8218dd1c1478d completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5782cc448819080e306952da24ac0 completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:43 p.m.