Triple

T2565227
Position Surface form Disambiguated ID Type / Status
Subject Josephine Baker E57334 entity
Predicate spouse P13 FINISHED
Object Jean Lion
Jean Lion was a French industrialist best known as the second husband of American-born entertainer and civil rights activist Josephine Baker.
E278432 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 Lion | Statement: [Josephine Baker, spouse, Jean Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Lion
Context triple: [Josephine Baker, spouse, Jean Lion]
  • A. Leo da Lion
    Leo da Lion is a music producer best known for his work on the project "Back to Basics."
  • B. Henri
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • C. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • D. Geoffrey
    Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
  • E. Pierre Beauchamp
    Pierre Beauchamp was a 17th-century French choreographer and dancing master credited with codifying the five basic positions of the feet in classical ballet.
  • 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 Lion
Triple: [Josephine Baker, spouse, Jean Lion]
Generated description
Jean Lion was a French industrialist best known as the second husband of American-born entertainer and civil rights activist Josephine Baker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean Lion
Target entity description: Jean Lion was a French industrialist best known as the second husband of American-born entertainer and civil rights activist Josephine Baker.
  • A. Leo da Lion
    Leo da Lion is a music producer best known for his work on the project "Back to Basics."
  • B. Henri
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • C. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • D. Geoffrey
    Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
  • E. Pierre Beauchamp
    Pierre Beauchamp was a 17th-century French choreographer and dancing master credited with codifying the five basic positions of the feet in classical ballet.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35dce0081909fcac5ac5ad6b841 completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d283ab48190a04fab64a6492306 completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af5dea244c81909bd6bcdba0edf958 completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e69ac3481908f48ad0efcd13767 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.