Triple

T10538933
Position Surface form Disambiguated ID Type / Status
Subject Tuanku Munawir E248644 entity
Predicate successor P78 FINISHED
Object Tuanku Ja’afar E43532 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: Tuanku Ja’afar | Statement: [Tuanku Munawir, successor, Tuanku Ja’afar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuanku Ja’afar
Context triple: [Tuanku Munawir, successor, Tuanku Ja’afar]
  • A. Tuanku Ja’afar chosen
    Tuanku Ja’afar was the tenth Yang di-Pertuan Agong (King) of Malaysia and a long-serving ruler of the state of Negeri Sembilan.
  • B. Tunku Jawahir
    Tunku Jawahir is a member of the Negeri Sembilan royal family and a daughter of Tuanku Najihah, the former Raja Permaisuri Agong of Malaysia.
  • C. Tunku Nazaruddin
    Tunku Nazaruddin is a Malaysian royal figure, known as a member of the Negeri Sembilan royal family.
  • D. Tunku Naquiyuddin
    Tunku Naquiyuddin is a Malaysian royal figure and businessman, known as a prominent member of the Negeri Sembilan royal family.
  • E. Tunku Imran
    Tunku Imran is a Malaysian royal figure and prominent sports administrator, known for leading national and international sports organizations including the Olympic Council of Malaysia and the Commonwealth Games Federation.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5730d88190b266a940faf53f65 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbd966f0f08190a60ca3bcf0e08e98 completed April 12, 2026, 5:41 p.m.
Created at: April 6, 2026, 12:31 p.m.