Triple

T23773813
Position Surface form Disambiguated ID Type / Status
Subject Au bout de mes rêves E587613 entity
Predicate titleMeaningInEnglish P6688 FINISHED
Object At the end of my dreams
"At the end of my dreams" is the English rendering of the French song title "Au bout de mes rêves," best known from Jean-Jacques Goldman's 1982 pop hit about hope and perseverance.
E1598547 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: At the end of my dreams | Statement: [Au bout de mes rêves, titleMeaningInEnglish, At the end of my dreams]
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: At the end of my dreams
Triple: [Au bout de mes rêves, titleMeaningInEnglish, At the end of my dreams]
Generated description
"At the end of my dreams" is the English rendering of the French song title "Au bout de mes rêves," best known from Jean-Jacques Goldman's 1982 pop hit about hope and perseverance.

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_69e2490d245881909028226a1393d624 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1c468fb948190baa66a4353f0ca71 completed April 29, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53e5bd308190aae27cb3e4ec17d5 completed May 21, 2026, 6:50 p.m.
NEDg Description generation batch_6a0f556ed4fc81909d355382fac1a6dc completed May 21, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f56517730819083d05aeebca5fd4a completed May 21, 2026, 7 p.m.
Created at: April 17, 2026, 7:16 p.m.