Triple

T34123522
Position Surface form Disambiguated ID Type / Status
Subject La Belle Noiseuse E875208 entity
Predicate characterPortrayed P1507 FINISHED
Object Michel Piccoli as Édouard Frenhofer
Michel Piccoli as Édouard Frenhofer is the portrayal of an aging, reclusive painter obsessively pursuing the completion of a long-abandoned masterpiece in the French film "La Belle Noiseuse."
E2081994 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 Piccoli as Édouard Frenhofer | Statement: [La Belle Noiseuse, characterPortrayed, Michel Piccoli as Édouard Frenhofer]
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 Piccoli as Édouard Frenhofer
Triple: [La Belle Noiseuse, characterPortrayed, Michel Piccoli as Édouard Frenhofer]
Generated description
Michel Piccoli as Édouard Frenhofer is the portrayal of an aging, reclusive painter obsessively pursuing the completion of a long-abandoned masterpiece in the French film "La Belle Noiseuse."

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_69f349aa33848190a2e6c5e4533c8444 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f4281608190a841c15a290c6d2b completed May 3, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36b775baf081908971023b16b44c9f completed June 20, 2026, 3:53 p.m.
NEDg Description generation batch_6a36b87e7e588190abb7ce4c5ea03b0f completed June 20, 2026, 3:57 p.m.
NED2 Entity disambiguation (via description) batch_6a36b9b97df48190bde30fd9c4e0d823 completed June 20, 2026, 4:03 p.m.
Created at: May 1, 2026, 1:53 a.m.