Triple

T14973309
Position Surface form Disambiguated ID Type / Status
Subject Sri Maharaja Jayanegara E373378 entity
Predicate title P38 FINISHED
Object Sri Maharaja E416285 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: Sri Maharaja | Statement: [Sri Maharaja Jayanegara, title, Sri Maharaja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sri Maharaja
Context triple: [Sri Maharaja Jayanegara, title, Sri Maharaja]
  • A. Sri Maharaja chosen
    Sri Maharaja is a royal title historically borne by high-ranking monarchs in the Indonesian archipelago, signifying supreme rulership and elevated sovereign status.
  • B. Sri Maharaja Anusapati
    Sri Maharaja Anusapati was a king of the early Javanese Singhasari kingdom in Indonesia, known from traditional chronicles as a successor in the royal lineage following Ken Arok.
  • C. Maharaj (the Great)
    Maharaj (the Great) is an honorific epithet signifying a revered and distinguished monarch, famously applied to King Taksin of Thailand.
  • D. Sanyasi Raja
    Sanyasi Raja is a popular Bengali film best known for featuring legendary actor Uttam Kumar in a dual role, blending drama, romance, and suspense.
  • E. Jagat Narayan
    Jagat Narayan was an Indian educationist and public figure who served as a member of the British-era Hunter Commission on education reforms.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be8af688190832efb00695f8b20 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:50 a.m.