Triple

T26802942
Position Surface form Disambiguated ID Type / Status
Subject Oxygène E671147 entity
Predicate coverArtDesigner P184 FINISHED
Object Michel Granger
Michel Granger is a French painter and graphic artist best known for his striking, eco-themed imagery, including the iconic cover art for Jean-Michel Jarre’s album "Oxygène."
E1741466 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: Michel Granger | Statement: [Oxygène, coverArtDesigner, Michel Granger]
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: Michel Granger
Triple: [Oxygène, coverArtDesigner, Michel Granger]
Generated description
Michel Granger is a French painter and graphic artist best known for his striking, eco-themed imagery, including the iconic cover art for Jean-Michel Jarre’s album "Oxygène."

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_69eeb31fbd888190a82dac5822e453bc completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61a1a8a908190ad51e89e81ff3c07 completed May 2, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a120970126081909af25c3ee18f1f24 completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a1188e0819095663b85c750523f completed May 23, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_6a120b329b30819089e007135e13dc21 completed May 23, 2026, 8:16 p.m.
Created at: April 27, 2026, 4:24 a.m.