Triple

T17096349
Position Surface form Disambiguated ID Type / Status
Subject Kameswara E414860 entity
Predicate title P38 FINISHED
Object SriMaharaja 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: SriMaharaja | Statement: [Kameswara, title, SriMaharaja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SriMaharaja
Context triple: [Kameswara, title, SriMaharaja]
  • 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. Mrigadava
    Mrigadava is the ancient deer park near Sarnath in India where Gautama Buddha is said to have delivered his first sermon.
  • 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. Sri
    Sri is the commonly used nickname of Sri Srinivasan, a prominent Indian-American jurist and Chief Judge of the U.S. Court of Appeals for the D.C. Circuit.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfdc9c88190b4e75bbdf4105c1e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eedfd7c8190b267dedd403f5f2b completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.