Triple

T28151700
Position Surface form Disambiguated ID Type / Status
Subject Earle Page E714635 entity
Predicate officeContested P495 FINISHED
Object Prime Minister of Australia
The Prime Minister of Australia is the head of government and the most senior elected official in the Australian political system, leading the executive branch and setting national policy.
E56566 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: Prime Minister of Australia | Statement: [Earle Page, officeContested, Prime Minister of Australia]
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: Prime Minister of Australia
Triple: [Earle Page, officeContested, Prime Minister of Australia]
Generated description
The Prime Minister of Australia is the head of government and the most senior elected official in the Australian political system, leading the executive branch and setting national policy.

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_69efd6b033208190bf74f80a147e2092 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f641778bc08190b046970f0a079cc3 completed May 2, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7ad17748190a7ca94e795560729 completed May 26, 2026, 5:26 p.m.
NEDg Description generation batch_6a15ddebbb1481909746657bb0fdc102 completed May 26, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a15de6f991081909bc0d1a7d0182503 completed May 26, 2026, 5:54 p.m.
Created at: April 27, 2026, 9:59 p.m.