Triple

T17490230
Position Surface form Disambiguated ID Type / Status
Subject Johnny Hallyday E425883 entity
Predicate notableWork P4 FINISHED
Object L’Envie
L’Envie is a popular rock song by French singer Johnny Hallyday, known as one of his signature anthems.
 E1272385 NE FINISHED

How this triple was built (4 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: L’Envie | Statement: [Johnny Hallyday, notableWork, L’Envie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L’Envie
Context triple: [Johnny Hallyday, notableWork, L’Envie]
  • A. Le Bon Plaisir
    Le Bon Plaisir is a French political comedy-drama film featuring Michel Serrault in a prominent role.
  • B. Désir
    Désir is a French surname borne by various notable individuals, including politicians and public figures.
  • C. Le Plaisir
    Le Plaisir is a 1952 French anthology film directed by Max Ophüls, adapting three Guy de Maupassant stories into elegant, interwoven tales of love, desire, and human folly.
  • D. La Jalousie
    La Jalousie is a landmark 1957 experimental novel by Alain Robbe-Grillet, noted for its rigorous use of the nouveau roman style and its obsessive, ambiguous exploration of jealousy and perception.
  • E. Amoureuse
    "Amoureuse" is a 1973 pop ballad, originally written in French by Véronique Sanson and popularized in English by Kiki Dee, known for its passionate, romantic lyrics and emotive melody.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: L’Envie
Triple: [Johnny Hallyday, notableWork, L’Envie]
Generated description
L’Envie is a popular rock song by French singer Johnny Hallyday, known as one of his signature anthems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L’Envie
Target entity description: L’Envie is a popular rock song by French singer Johnny Hallyday, known as one of his signature anthems.
  • A. Le Bon Plaisir
    Le Bon Plaisir is a French political comedy-drama film featuring Michel Serrault in a prominent role.
  • B. Désir
    Désir is a French surname borne by various notable individuals, including politicians and public figures.
  • C. Le Plaisir
    Le Plaisir is a 1952 French anthology film directed by Max Ophüls, adapting three Guy de Maupassant stories into elegant, interwoven tales of love, desire, and human folly.
  • D. La Jalousie
    La Jalousie is a landmark 1957 experimental novel by Alain Robbe-Grillet, noted for its rigorous use of the nouveau roman style and its obsessive, ambiguous exploration of jealousy and perception.
  • E. Amoureuse
    "Amoureuse" is a 1973 pop ballad, originally written in French by Véronique Sanson and popularized in English by Kiki Dee, known for its passionate, romantic lyrics and emotive melody.
  • F. None of above. chosen

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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d519488190a08da1b529c08445 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c200db048190a895c6060b3575d8 completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c3881f6081908f13c4033933b252 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c41859008190b786bdc2c09f24d1 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:48 a.m.