Triple

T344841
Position Surface form Disambiguated ID Type / Status
Subject 1998 Commonwealth Games E6916 entity
Predicate torchLighter P12120 FINISHED
Object Azman Sulaiman E43533 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: Azman Sulaiman | Statement: [1998 Commonwealth Games, torchLighter, Azman Sulaiman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azman Sulaiman
Context triple: [1998 Commonwealth Games, torchLighter, Azman Sulaiman]
  • A. Shalin Zulkifli
    Shalin Zulkifli is a Malaysian ten-pin bowling champion renowned for her numerous international titles and contributions to the sport in Malaysia.
  • B. Tuanku Ja’afar
    Tuanku Ja’afar was the tenth Yang di-Pertuan Agong (King) of Malaysia and a long-serving ruler of the state of Negeri Sembilan.
  • C. Amir Sjarifuddin
    Amir Sjarifuddin was an Indonesian nationalist leader, socialist politician, and former prime minister who played a key role in the early years of Indonesia’s struggle for independence.
  • D. Nur Herman Majid chosen
    Nur Herman Majid is a Malaysian former hurdler best known for lighting the cauldron at the 1998 Commonwealth Games in Kuala Lumpur.
  • E. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ee043fac8190af72291c04761687 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd31c720819092af1eb26bd3080a completed March 1, 2026, 6:31 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.