Triple

T9650930
Position Surface form Disambiguated ID Type / Status
Subject Erik Satie E233330 entity
Predicate givenName P17 FINISHED
Object Éric
Éric is the given name of the influential French composer and pianist Erik Satie, known for his avant-garde and minimalist works.
E811884 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: Éric | Statement: [Erik Satie, givenName, Éric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Éric
Context triple: [Erik Satie, givenName, Éric]
  • A. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • B. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • C. Cédric
    Cédric is a French given name commonly used for males, notably borne by mathematician Cédric Villani.
  • D. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • E. Stéphane
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • 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: Éric
Triple: [Erik Satie, givenName, Éric]
Generated description
Éric is the given name of the influential French composer and pianist Erik Satie, known for his avant-garde and minimalist works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Éric
Target entity description: Éric is the given name of the influential French composer and pianist Erik Satie, known for his avant-garde and minimalist works.
  • A. Hervé
    Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
  • B. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • C. Cédric
    Cédric is a French given name commonly used for males, notably borne by mathematician Cédric Villani.
  • D. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • E. Stéphane
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9baf9a1c819098c407ea7d42e6d1 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1826780fc81909c418e82bd94c581 completed April 4, 2026, 9:28 p.m.
NEDg Description generation batch_69d1836d683081908bccf970e4b0980b completed April 4, 2026, 9:32 p.m.
NED2 Entity disambiguation (via description) batch_69d18412c4a08190bce431235e1102fc completed April 4, 2026, 9:35 p.m.
Created at: March 30, 2026, 8:13 p.m.