Triple

T10629060
Position Surface form Disambiguated ID Type / Status
Subject Tuanku Muhriz E250402 entity
Predicate predecessor P97 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 Muhriz, predecessor, Tuanku Ja’afar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuanku Ja’afar
Context triple: [Tuanku Muhriz, predecessor, 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 Ali Redhauddin
    Tunku Ali Redhauddin is a Malaysian royal figure and corporate leader, known as the son of Tuanku Muhriz, the Yang di-Pertuan Besar of Negeri Sembilan.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df92f8388190a8bcff96809d8eb4 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e23b1c5e4c81909628c77b80805353 completed April 17, 2026, 1:52 p.m.
Created at: April 8, 2026, 8:59 p.m.