Triple

T32933681
Position Surface form Disambiguated ID Type / Status
Subject Lord President of the Federal Court of Malaysia E842466 entity
Predicate officeHolderTitle P3342 FINISHED
Object Lord President
The Lord President is the historic title for the head of the highest court and judiciary in Malaysia, now known as the Chief Justice of Malaysia.
E2033231 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: Lord President | Statement: [Lord President of the Federal Court of Malaysia, officeHolderTitle, Lord President]
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: Lord President
Triple: [Lord President of the Federal Court of Malaysia, officeHolderTitle, Lord President]
Generated description
The Lord President is the historic title for the head of the highest court and judiciary in Malaysia, now known as the Chief Justice of Malaysia.

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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d10722e88190bb59c5768ce23d43 completed May 3, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34dab3af908190aa46412036748820 completed June 19, 2026, 5:59 a.m.
NEDg Description generation batch_6a34dee6dfd48190925ac8668d211670 completed June 19, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a34df60374481908daa2ae0bc9bd4d4 completed June 19, 2026, 6:19 a.m.
Created at: May 1, 2026, 1:20 a.m.