Triple

T28237353
Position Surface form Disambiguated ID Type / Status
Subject Gerald Murnane E711914 entity
Predicate notableWork P4 FINISHED
Object A Lifetime on Clouds
A Lifetime on Clouds is a novel by Australian writer Gerald Murnane that follows the erotic fantasies and inner life of a young Catholic man in suburban Melbourne.
 E1808864 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: A Lifetime on Clouds | Statement: [Gerald Murnane, notableWork, A Lifetime on Clouds]
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: A Lifetime on Clouds
Triple: [Gerald Murnane, notableWork, A Lifetime on Clouds]
Generated description
A Lifetime on Clouds is a novel by Australian writer Gerald Murnane that follows the erotic fantasies and inner life of a young Catholic man in suburban Melbourne.

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_69f643c204508190a43fe0ec5165b01c completed May 2, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6cfa0e4819094beb68840c46a76 completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15ee01879c8190b5e483dcd17f93a3 completed May 26, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a15f3f763388190af2b692764ae30b6 completed May 26, 2026, 7:26 p.m.
Created at: April 27, 2026, 10:56 p.m.