Triple

T8184188
Position Surface form Disambiguated ID Type / Status
Subject Jeanne E191141 entity
Predicate hasDiminutive P456 FINISHED
Object Jeannine
Jeannine is a feminine given name, commonly used as a diminutive or affectionate form of the name Jeanne.
 E267780 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: Jeannine | Statement: [Jeanne, hasDiminutive, Jeannine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeannine
Context triple: [Jeanne, hasDiminutive, Jeannine]
  • A. Jeanie
    Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
  • B. Jeanette
    Jeanette is the given name of Jennie Jerome, the American-born British socialite best known as the mother of Winston Churchill.
  • C. Jeanette
    Jeanette is a Spanish-British singer and actress best known for her soft, melancholic pop songs that became iconic in the Spanish-speaking world during the 1970s.
  • D. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • E. Suzanne
    Suzanne is a central character in Steve Martin’s play "Picasso at the Lapin Agile," representing a young woman entangled romantically with both Picasso and other men in the bohemian Parisian setting.
  • 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: Jeannine
Triple: [Jeanne, hasDiminutive, Jeannine]
Generated description
Jeannine is a feminine given name, commonly used as a diminutive or affectionate form of the name Jeanne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeannine
Target entity description: Jeannine is a feminine given name, commonly used as a diminutive or affectionate form of the name Jeanne.
  • A. Jeanie chosen
    Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
  • B. Jeanette
    Jeanette is a Spanish-British singer and actress best known for her soft, melancholic pop songs that became iconic in the Spanish-speaking world during the 1970s.
  • C. Jeanette
    Jeanette is the given name of Jennie Jerome, the American-born British socialite best known as the mother of Winston Churchill.
  • D. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • E. Suzanne
    Suzanne is a central character in Steve Martin’s play "Picasso at the Lapin Agile," representing a young woman entangled romantically with both Picasso and other men in the bohemian Parisian setting.
  • F. None of above.

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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c507f248190b599b4a629b7518a completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf95fd5c81908391dc160723b9e9 completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc315c73c81908ba65073c5eab6e1 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd87585148190a2d8b81ab352d123 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:41 p.m.