Triple

T975461
Position Surface form Disambiguated ID Type / Status
Subject La Vie en rose E21042 entity
Predicate composer P1361 FINISHED
Object Louiguy
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
E146720 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: Louiguy | Statement: [La Vie en rose, composer, Louiguy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louiguy
Context triple: [La Vie en rose, composer, Louiguy]
  • A. Stephen Sauvestre
    Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
  • B. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • 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: Louiguy
Triple: [La Vie en rose, composer, Louiguy]
Generated description
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louiguy
Target entity description: Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • A. Stephen Sauvestre
    Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
  • B. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46234c88190b2bfc9cafe59d7f7 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2d3cb588190882a480c18147384 completed March 7, 2026, 10:12 p.m.
NEDg Description generation batch_69aca556501c8190abd8ae1cd679919a completed March 7, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69aca7753da0819098e50ae51e967eb5 completed March 7, 2026, 10:32 p.m.
Created at: March 1, 2026, 7:40 p.m.