Triple

T29588916
Position Surface form Disambiguated ID Type / Status
Subject Hélène Ségara E754099 entity
Predicate notableSingle P3283 FINISHED
Object On n’oublie jamais rien, on vit avec
"On n’oublie jamais rien, on vit avec" is a popular French pop ballad by Hélène Ségara that reflects on enduring memories and emotional resilience in the face of past experiences.
E1874707 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: On n’oublie jamais rien, on vit avec | Statement: [Hélène Ségara, notableSingle, On n’oublie jamais rien, on vit avec]
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: On n’oublie jamais rien, on vit avec
Triple: [Hélène Ségara, notableSingle, On n’oublie jamais rien, on vit avec]
Generated description
"On n’oublie jamais rien, on vit avec" is a popular French pop ballad by Hélène Ségara that reflects on enduring memories and emotional resilience in the face of past experiences.

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_69f0ef836ac88190bd809dc58b5ec907 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66d80188881909e5e59c36af71ae6 completed May 2, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d7874188190ac022c69269d24d6 completed June 8, 2026, 2:48 a.m.
NEDg Description generation batch_6a263292569881909ece1e0bb502af53 completed June 8, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_6a263708ace081909523e987b89aad34 completed June 8, 2026, 3:29 a.m.
Created at: April 28, 2026, 6:12 p.m.