Triple

T5334447
Position Surface form Disambiguated ID Type / Status
Subject Harry Connick Jr. E123790 entity
Predicate spouse P13 FINISHED
Object Jill Goodacre
Jill Goodacre is an American former Victoria's Secret model and actress who gained prominence in the late 1980s and early 1990s.
 E512467 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: Jill Goodacre | Statement: [Harry Connick Jr., spouse, Jill Goodacre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jill Goodacre
Context triple: [Harry Connick Jr., spouse, Jill Goodacre]
  • A. Gillian Crampton Smith
    Gillian Crampton Smith is a pioneering interaction design educator and researcher known for shaping the field through influential academic programs and leadership in human-computer interaction design.
  • B. Philippa Cobb
    Philippa Cobb is the young daughter of Dom Cobb in the film "Inception."
  • C. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • D. Carobeth Laird
    Carobeth Laird was an American ethnographer and linguist best known for her influential documentation of Chemehuevi language and culture.
  • E. Susan Abigail Tomalin
    Susan Abigail Tomalin, better known as Susan Sarandon, is an Academy Award–winning American actress and activist renowned for her roles in films such as "Thelma & Louise" and "Dead Man Walking."
  • 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: Jill Goodacre
Triple: [Harry Connick Jr., spouse, Jill Goodacre]
Generated description
Jill Goodacre is an American former Victoria's Secret model and actress who gained prominence in the late 1980s and early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jill Goodacre
Target entity description: Jill Goodacre is an American former Victoria's Secret model and actress who gained prominence in the late 1980s and early 1990s.
  • A. Gillian Crampton Smith
    Gillian Crampton Smith is a pioneering interaction design educator and researcher known for shaping the field through influential academic programs and leadership in human-computer interaction design.
  • B. Philippa Cobb
    Philippa Cobb is the young daughter of Dom Cobb in the film "Inception."
  • C. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • D. Carobeth Laird
    Carobeth Laird was an American ethnographer and linguist best known for her influential documentation of Chemehuevi language and culture.
  • E. Susan Abigail Tomalin
    Susan Abigail Tomalin, better known as Susan Sarandon, is an Academy Award–winning American actress and activist renowned for her roles in films such as "Thelma & Louise" and "Dead Man Walking."
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ae52c08190968a5567b7e6b794 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18baeca081909acc11d0c6c89f6d completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf1a5440d8819094a6da0282408b7b completed March 21, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69bf1abe1ea88190b681eb18bfa361d7 completed March 21, 2026, 10:25 p.m.
Created at: March 20, 2026, 2 p.m.