Triple

T2355753
Position Surface form Disambiguated ID Type / Status
Subject Jennifer E47548 entity
Predicate shortForm P43 FINISHED
Object Jennie
Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
 E257220 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: Jennie | Statement: [Jennifer, shortForm, Jennie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jennie
Context triple: [Jennifer, shortForm, Jennie]
  • A. Jenny
    Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
  • B. Jenny
    "Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
  • C. Abbey Lee
    Abbey Lee is an Australian model and actress best known for her role as one of the wives in the post-apocalyptic action film "Mad Max: Fury Road."
  • D. Jennifer Jayne
    Jennifer Jayne was a British film and television actress known for her roles in 1950s and 1960s comedies and genre films.
  • E. Jennie Celeste Williams
    Jennie Celeste Williams was the mother of Alberta Williams King and the maternal grandmother of civil rights leader Martin Luther King Jr.
  • 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: Jennie
Triple: [Jennifer, shortForm, Jennie]
Generated description
Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jennie
Target entity description: Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
  • A. Jenny
    Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
  • B. Jenny
    "Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
  • C. Abbey Lee
    Abbey Lee is an Australian model and actress best known for her role as one of the wives in the post-apocalyptic action film "Mad Max: Fury Road."
  • D. Jennifer Jayne
    Jennifer Jayne was a British film and television actress known for her roles in 1950s and 1960s comedies and genre films.
  • E. Jennie Celeste Williams
    Jennie Celeste Williams was the mother of Alberta Williams King and the maternal grandmother of civil rights leader Martin Luther King Jr.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fd4e488190b763a1c9b5d18f2c completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963660108190b58f3288a5b3f96e completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96b4b378819094853d3503a3b8b4 completed March 9, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae970a87a4819094e33d3b6347a9b5 completed March 9, 2026, 9:46 a.m.
Created at: March 4, 2026, 7:54 p.m.