Triple

T35877450
Position Surface form Disambiguated ID Type / Status
Subject Fiona Hall E1037406 entity
Predicate notableWork P4 FINISHED
Object Big Game Hunting
Big Game Hunting is a major art installation by Australian artist Fiona Hall that critiques consumerism, colonialism, and environmental destruction through intricately crafted sculptural works.
 E2159478 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: Big Game Hunting | Statement: [Fiona Hall, notableWork, Big Game Hunting]
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: Big Game Hunting
Triple: [Fiona Hall, notableWork, Big Game Hunting]
Generated description
Big Game Hunting is a major art installation by Australian artist Fiona Hall that critiques consumerism, colonialism, and environmental destruction through intricately crafted sculptural works.

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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa000d808190b0f54e755ee9dae3 completed May 3, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4f2b0408190838e502aa060345f completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a57d5e2c81908a749015ac6fcd7f completed June 22, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_6a38a5fa291c81909955855947ef19d5 completed June 22, 2026, 3:03 a.m.
Created at: May 3, 2026, 4:06 p.m.