Triple

T944804
Position Surface form Disambiguated ID Type / Status
Subject Jean-Paul Marat E20388 entity
Predicate givenName P17 FINISHED
Object Jean-Paul
Jean-Paul is a masculine French given name most famously borne by the revolutionary leader and journalist Jean-Paul Marat.
E112550 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: Jean-Paul | Statement: [Jean-Paul Marat, givenName, Jean-Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Paul
Context triple: [Jean-Paul Marat, givenName, Jean-Paul]
  • A. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • B. Jean-Paul Agon
    Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
  • C. Gabriel-François Doyen
    Gabriel-François Doyen was an 18th-century French painter known for his dramatic religious and historical compositions within the Rococo and early Neoclassical traditions.
  • D. Philippe Claudel
    Philippe Claudel is a French novelist, screenwriter, and film director best known for works such as "Il y a longtemps que je t'aime" ("I've Loved You So Long").
  • E. Maxime Maufra
    Maxime Maufra was a French landscape and marine painter associated with the Pont-Aven School and known for his post-Impressionist style and vivid use of color.
  • 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: Jean-Paul
Triple: [Jean-Paul Marat, givenName, Jean-Paul]
Generated description
Jean-Paul is a masculine French given name most famously borne by the revolutionary leader and journalist Jean-Paul Marat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean-Paul
Target entity description: Jean-Paul is a masculine French given name most famously borne by the revolutionary leader and journalist Jean-Paul Marat.
  • A. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • B. Jean-Paul Agon
    Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
  • C. Gabriel-François Doyen
    Gabriel-François Doyen was an 18th-century French painter known for his dramatic religious and historical compositions within the Rococo and early Neoclassical traditions.
  • D. Philippe Claudel
    Philippe Claudel is a French novelist, screenwriter, and film director best known for works such as "Il y a longtemps que je t'aime" ("I've Loved You So Long").
  • E. Maxime Maufra
    Maxime Maufra was a French landscape and marine painter associated with the Pont-Aven School and known for his post-Impressionist style and vivid use of color.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a3ed3881908386af140477c514 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933a643708190a8d3da54b1e91bcf completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69a93a0c69f881909e8843c7c8ca7d9d completed March 5, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69aa926943788190857398fecfd9c9da completed March 6, 2026, 8:38 a.m.
Created at: March 1, 2026, 7:40 p.m.