Triple

T28237401
Position Surface form Disambiguated ID Type / Status
Subject Judith Wright E711915 entity
Predicate fullName P16 FINISHED
Object Judith Arundell Wright
Judith Arundell Wright was a prominent Australian poet, environmentalist, and Aboriginal land-rights advocate known for her lyrical depictions of the Australian landscape and her strong social conscience.
 E1815502 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: Judith Arundell Wright | Statement: [Judith Wright, fullName, Judith Arundell Wright]
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: Judith Arundell Wright
Triple: [Judith Wright, fullName, Judith Arundell Wright]
Generated description
Judith Arundell Wright was a prominent Australian poet, environmentalist, and Aboriginal land-rights advocate known for her lyrical depictions of the Australian landscape and her strong social conscience.

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_69efb51ece308190b8c269a057e36652 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643c2f0248190a2bf87dceb15da01 completed May 2, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16279d36f48190a59dd4f85114561b completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a162b7f63248190b371a18930eda206 completed May 26, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_6a162bf4f9908190b99f430424a34ce8 completed May 26, 2026, 11:25 p.m.
Created at: April 27, 2026, 10:56 p.m.