Triple

T25739149
Position Surface form Disambiguated ID Type / Status
Subject St Kilda Cemetery E648165 entity
Predicate hasNotableBurial P196 FINISHED
Object Sir John Madden
Sir John Madden was a prominent Australian jurist who served as Chief Justice of the Supreme Court of Victoria in the late 19th and early 20th centuries.
 E1692989 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: Sir John Madden | Statement: [St Kilda Cemetery, hasNotableBurial, Sir John Madden]
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: Sir John Madden
Triple: [St Kilda Cemetery, hasNotableBurial, Sir John Madden]
Generated description
Sir John Madden was a prominent Australian jurist who served as Chief Justice of the Supreme Court of Victoria in the late 19th and early 20th centuries.

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_69e7ab306eec8190b05c312c6ab186b8 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fd182d30819091d64892c0a3d503 completed May 2, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc05f5808190a9b05ef5fe13daf4 completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10cc9e0d7c81909e6acbbc8c7ac7de completed May 22, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_6a10cd2723f88190a55aea01fba6dcad completed May 22, 2026, 9:39 p.m.
Created at: April 22, 2026, 3:39 a.m.