Triple

T6549359
Position Surface form Disambiguated ID Type / Status
Subject Hartini E151090 entity
Predicate name P16 FINISHED
Object Hartini E151090 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: Hartini | Statement: [Hartini, name, Hartini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartini
Context triple: [Hartini, name, Hartini]
  • A. Hartini chosen
    Hartini was the second wife of Indonesia’s first president, Sukarno, and a notable figure in mid-20th-century Indonesian social and political life.
  • B. Marcella Araica
    Marcella Araica is an American recording and mixing engineer and producer known for her work with major pop and R&B artists.
  • C. 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.
  • D. Pramodhawardhani
    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.
  • E. Rina Indiastuti
    Rina Indiastuti is an Indonesian academic and professor who has served as the rector of Universitas Padjadjaran, one of the country’s leading public universities.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae037c488190b9441f9a9e7a69b6 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4214f28819083134e9e6fe6f393 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:51 p.m.