Triple

T33318176
Position Surface form Disambiguated ID Type / Status
Subject Election Commission of Malaysia E853067 entity
Predicate hasDeputyChairman P111544 FINISHED
Object Azmi Sharom
Azmi Sharom is a Malaysian legal scholar and academic known for his work in constitutional law and public commentary on governance and civil liberties.
 E2046622 NE FINISHED

How this triple was built (3 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: Azmi Sharom | Statement: [Election Commission of Malaysia, hasDeputyChairman, Azmi Sharom]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Azmi Sharom
Triple: [Election Commission of Malaysia, hasDeputyChairman, Azmi Sharom]
Generated description
Azmi Sharom is a Malaysian legal scholar and academic known for his work in constitutional law and public commentary on governance and civil liberties.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasDeputyChairman
Context triple: [Election Commission of Malaysia, hasDeputyChairman, Azmi Sharom]
  • A. lastDeputyChairperson
    Indicates that one entity served as the most recent deputy chairperson of another entity or organization.
  • B. hasViceChair
    Indicates that an entity holds the role or position of vice chair in relation to another entity (such as an organization, committee, or group).
  • C. hasDeputyChiefMinister
    Indicates that an entity serves as the deputy chief minister of another entity (typically a political jurisdiction or government).
  • D. hasChairmanIn
    Indicates that an entity has a person serving as its chairman in a specified organization, location, or context.
  • E. hasDeputyHeads chosen
    Indicates that an entity has one or more individuals serving in subordinate leadership roles as deputy heads.
  • F. None of above.

Provenance (6 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_69f349685f088190b8fda44083a018a9 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fedd5a5f4c8190acce88db56303703 completed May 9, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35433058c88190a145587fea7ada7e completed June 19, 2026, 1:25 p.m.
NEDg Description generation batch_6a35447116408190846fb70cdd5c2095 completed June 19, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a35485809fc81909dcb185c08aaf013 completed June 19, 2026, 1:47 p.m.
PD Predicate disambiguation batch_69fed910b31c8190ae837163d146738d completed May 9, 2026, 6:49 a.m.
Created at: May 1, 2026, 1:33 a.m.