Triple

T8791774
Position Surface form Disambiguated ID Type / Status
Subject Jean E209182 entity
Predicate hasDiminutive P456 FINISHED
Object Jeanjean
Jeanjean is a French diminutive form of the given name Jean, often used as an affectionate nickname or surname.
 E756532 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: Jeanjean | Statement: [Jean, hasDiminutive, Jeanjean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeanjean
Context triple: [Jean, hasDiminutive, Jeanjean]
  • A. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • B. Jeannot
    Jeannot is the given name of French-American film and television director Jeannot Szwarc, known for works such as "Jaws 2" and numerous TV episodes.
  • C. Jean-Marie
    Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
  • D. Mahoudeau
    Mahoudeau is a sculptor character in Émile Zola’s novel "L’Œuvre," representing the struggles and ideals of avant-garde artists in 19th-century Paris.
  • E. Vallière
    Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
  • 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: Jeanjean
Triple: [Jean, hasDiminutive, Jeanjean]
Generated description
Jeanjean is a French diminutive form of the given name Jean, often used as an affectionate nickname or surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeanjean
Target entity description: Jeanjean is a French diminutive form of the given name Jean, often used as an affectionate nickname or surname.
  • A. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • B. Jeannot
    Jeannot is the given name of French-American film and television director Jeannot Szwarc, known for works such as "Jaws 2" and numerous TV episodes.
  • C. Jean-Marie
    Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
  • D. Mahoudeau
    Mahoudeau is a sculptor character in Émile Zola’s novel "L’Œuvre," representing the struggles and ideals of avant-garde artists in 19th-century Paris.
  • E. Vallière
    Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8e6e4881909155c40c52bc082c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5220af84819095ddefd84fd9f369 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5379dc748190a9b6522d7a68eed4 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf54129d888190b61d67f99ad36cb8 completed April 3, 2026, 5:45 a.m.
Created at: March 30, 2026, 6:43 p.m.