Triple

T15059695
Position Surface form Disambiguated ID Type / Status
Subject Abel Ferrara E379591 entity
Predicate spouse P13 FINISHED
Object Christine Kelly
Christine Kelly is the wife of American filmmaker Abel Ferrara, known for her association with his life and career.
E1221775 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: Christine Kelly | Statement: [Abel Ferrara, spouse, Christine Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Kelly
Context triple: [Abel Ferrara, spouse, Christine Kelly]
  • A. Christine Brennan
    Christine Brennan is an American sports journalist, author, and television commentator known for her coverage of the Olympics and advocacy for women in sports.
  • B. Katharine Cullen
    Katharine Cullen is an Australian actress known for her work in film, television, and theatre, and as the daughter of actor Max Cullen.
  • C. Bridget Kelly
    Bridget Kelly is an American R&B singer and songwriter known for her work with Roc Nation and songs like "Special Delivery" and "Street Dreamin'."
  • D. Michelle Flaherty
    Michelle Flaherty is a central comedic character in the American Pie film series, known for her quirky, enthusiastic personality and memorable one-liners.
  • E. Caitlin Leahy
    Caitlin Leahy is an American actress and model known for her roles in film and television, including appearances in action and drama projects.
  • 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: Christine Kelly
Triple: [Abel Ferrara, spouse, Christine Kelly]
Generated description
Christine Kelly is the wife of American filmmaker Abel Ferrara, known for her association with his life and career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christine Kelly
Target entity description: Christine Kelly is the wife of American filmmaker Abel Ferrara, known for her association with his life and career.
  • A. Christine Brennan
    Christine Brennan is an American sports journalist, author, and television commentator known for her coverage of the Olympics and advocacy for women in sports.
  • B. Katharine Cullen
    Katharine Cullen is an Australian actress known for her work in film, television, and theatre, and as the daughter of actor Max Cullen.
  • C. Bridget Kelly
    Bridget Kelly is an American R&B singer and songwriter known for her work with Roc Nation and songs like "Special Delivery" and "Street Dreamin'."
  • D. Michelle Flaherty
    Michelle Flaherty is a central comedic character in the American Pie film series, known for her quirky, enthusiastic personality and memorable one-liners.
  • E. Caitlin Leahy
    Caitlin Leahy is an American actress and model known for her roles in film and television, including appearances in action and drama projects.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ec7a4748190822e66a756bc95b9 completed May 10, 2026, 11:40 a.m.
NEDg Description generation batch_6a006fa02870819083c1b25eb4c8ffad completed May 10, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0070aee0248190b3463b98a739d1ae completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 3:01 a.m.