Triple

T27699191
Position Surface form Disambiguated ID Type / Status
Subject Parti Pribumi Bersatu Malaysia E698381 entity
Predicate founder P104 FINISHED
Object Mukhriz Mahathir
Mukhriz Mahathir is a Malaysian politician and businessman, the son of former Prime Minister Mahathir Mohamad, who has served as a federal minister and Kedah chief minister.
E180531 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: Mukhriz Mahathir | Statement: [Parti Pribumi Bersatu Malaysia, founder, Mukhriz Mahathir]
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: Mukhriz Mahathir
Triple: [Parti Pribumi Bersatu Malaysia, founder, Mukhriz Mahathir]
Generated description
Mukhriz Mahathir is a Malaysian politician and businessman, the son of former Prime Minister Mahathir Mohamad, who has served as a federal minister and Kedah chief minister.

Provenance (5 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_69ef590ea74081908f0cd7500d85fa27 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f635a1611881908cf175d623831a42 completed May 2, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c8df390c8190bfc8efbd2d2e7ba0 completed May 26, 2026, 4:22 p.m.
NEDg Description generation batch_6a15c9bb7a048190b0eb73081d1b1a81 completed May 26, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_6a15caa74e9c8190ad43be1d8ed6ad15 completed May 26, 2026, 4:30 p.m.
Created at: April 27, 2026, 2:56 p.m.