Triple

T26234641
Position Surface form Disambiguated ID Type / Status
Subject Ngarrindjeri women E656129 entity
Predicate hasNotableIndividual P304 FINISHED
Object Aunty Ellen Trevorrow
Aunty Ellen Trevorrow is a respected Ngarrindjeri elder and master weaver from South Australia, renowned for reviving and teaching traditional Ngarrindjeri basket weaving and cultural practices.
E1714295 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: Aunty Ellen Trevorrow | Statement: [Ngarrindjeri women, hasNotableIndividual, Aunty Ellen Trevorrow]
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: Aunty Ellen Trevorrow
Triple: [Ngarrindjeri women, hasNotableIndividual, Aunty Ellen Trevorrow]
Generated description
Aunty Ellen Trevorrow is a respected Ngarrindjeri elder and master weaver from South Australia, renowned for reviving and teaching traditional Ngarrindjeri basket weaving and cultural practices.

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_69ee5b4b8b408190993da38c0067cc8d completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d897ae081909d9cac57cbda3e00 completed May 2, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11859a1d148190adee8ee0275bcc56 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11862050608190bf26431a0fb90b07 completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186bd48e48190a397267a101ef076 completed May 23, 2026, 10:51 a.m.
Created at: April 26, 2026, 9:01 p.m.