Triple

T25024854
Position Surface form Disambiguated ID Type / Status
Subject Chief Justice of the Federal Court of Australia E626679 entity
Predicate firstHolder P291 FINISHED
Object Nigel Bowen
Nigel Bowen was an Australian jurist and politician who became the inaugural Chief Justice of the Federal Court of Australia.
 E1663491 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: Nigel Bowen | Statement: [Chief Justice of the Federal Court of Australia, firstHolder, Nigel Bowen]
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: Nigel Bowen
Triple: [Chief Justice of the Federal Court of Australia, firstHolder, Nigel Bowen]
Generated description
Nigel Bowen was an Australian jurist and politician who became the inaugural Chief Justice of the Federal Court of Australia.

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_69e2ff28ee3881909c626af002457a4a completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44f6995848190bef9562ec65aed77 completed May 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048b7b7f48190a0ec6fc8ad1246cf completed May 22, 2026, 12:14 p.m.
NEDg Description generation batch_6a104a6d40f88190941fae4e53c175f7 completed May 22, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a104c29b7ec8190b6ecf8d745b9ce90 completed May 22, 2026, 12:29 p.m.
Created at: April 18, 2026, 6:07 a.m.