Triple

T16767328
Position Surface form Disambiguated ID Type / Status
Subject Queen Pramodhawardhani E407498 entity
Predicate title P38 FINISHED
Object Pramodhawardhani E427804 NE FINISHED

How this triple was built (2 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: Pramodhawardhani | Statement: [Queen Pramodhawardhani, title, Pramodhawardhani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pramodhawardhani
Context triple: [Queen Pramodhawardhani, title, Pramodhawardhani]
  • A. Pramodhawardhani chosen
    Pramodhawardhani was a 9th-century Javanese princess of the Sailendra dynasty, known for her role in the political and religious transition from Mahayana Buddhism to Hinduism in Central Java.
  • B. Kusumawardhani
    Kusumawardhani was a Javanese princess and queen consort of the Majapahit Empire, known as the wife of King Wikramawardhana and a key figure in the dynasty’s succession.
  • C. Jayendradewi
    Jayendradewi was a queen consort of Raden Wijaya, the founder and first king of the Majapahit Empire in Java.
  • D. Dewi Narendraduhita
    Dewi Narendraduhita was a royal consort in the Singhasari kingdom, known primarily as the wife of King Anusapati in early Javanese history.
  • E. Tania Gunadi
    Tania Gunadi is an Indonesian-American actress known for her roles in various Disney Channel productions and voice work in animated series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b033d6b88190a1366a58d63b0546 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a531ea7c81908630f16f6c685d49 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.