Triple

T10977332
Position Surface form Disambiguated ID Type / Status
Subject Charlie Brent E259404 entity
Predicate relative P37 FINISHED
Object Jenny Gardner
Jenny Gardner is a fictional character from the soap opera "All My Children," known for her tumultuous relationships and dramatic storylines in Pine Valley.
E957452 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: Jenny Gardner | Statement: [Charlie Brent, relative, Jenny Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny Gardner
Context triple: [Charlie Brent, relative, Jenny Gardner]
  • A. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • B. Nikki Gardner
    Nikki Gardner is a fictional character from the American sitcom "The Exes," which follows the lives and relationships of divorced men sharing an apartment.
  • C. Nessa Jenkins
    Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
  • D. Amy Gardner
    Amy Gardner is a British scriptwriter and producer known for her work in film and television and for her former marriage to actor Rufus Sewell.
  • E. Jenny Graves
    Jenny Graves is a child of the English poet, novelist, and critic Robert Graves.
  • 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: Jenny Gardner
Triple: [Charlie Brent, relative, Jenny Gardner]
Generated description
Jenny Gardner is a fictional character from the soap opera "All My Children," known for her tumultuous relationships and dramatic storylines in Pine Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jenny Gardner
Target entity description: Jenny Gardner is a fictional character from the soap opera "All My Children," known for her tumultuous relationships and dramatic storylines in Pine Valley.
  • A. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • B. Nikki Gardner
    Nikki Gardner is a fictional character from the American sitcom "The Exes," which follows the lives and relationships of divorced men sharing an apartment.
  • C. Nessa Jenkins
    Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
  • D. Amy Gardner
    Amy Gardner is a British scriptwriter and producer known for her work in film and television and for her former marriage to actor Rufus Sewell.
  • E. Jenny Graves
    Jenny Graves is a child of the English poet, novelist, and critic Robert Graves.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f6a9448190b3932ee801ae0da9 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f470cbce14819099d47d468ae61df7 completed May 1, 2026, 9:22 a.m.
NEDg Description generation batch_69f47b755f808190acb2fb31473d2405 completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47d8bbae8819088d48b300291ef74 completed May 1, 2026, 10:16 a.m.
Created at: April 8, 2026, 9:24 p.m.