Triple

T1285231
Position Surface form Disambiguated ID Type / Status
Subject Tommy Mottola E27418 entity
Predicate parent P120 FINISHED
Object Sarah Mottola
Sarah Mottola is known as the daughter of American music executive and former Sony Music Entertainment CEO Tommy Mottola.
E264037 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: Sarah Mottola | Statement: [Tommy Mottola, parent, Sarah Mottola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Mottola
Context triple: [Tommy Mottola, parent, Sarah Mottola]
  • A. Madeline Neroni
    Madeline Neroni is a captivating, manipulative, and physically disabled beauty in Anthony Trollope’s novel "Barchester Towers," known for using her charm and wit to influence the social and romantic intrigues around her.
  • B. Sophia Petrillo
    Sophia Petrillo is the sharp-tongued, witty Sicilian matriarch from the sitcom "The Golden Girls," known for her blunt humor and memorable one-liners.
  • C. Kristen Tomassi
    Kristen Tomassi is an American architect and designer best known as the first wife of British entrepreneur Richard Branson.
  • D. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • E. Kate Mestitz
    Kate Mestitz is an Australian psychologist best known for her long-term marriage to actor Guy Pearce.
  • 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: Sarah Mottola
Triple: [Tommy Mottola, parent, Sarah Mottola]
Generated description
Sarah Mottola is known as the daughter of American music executive and former Sony Music Entertainment CEO Tommy Mottola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah Mottola
Target entity description: Sarah Mottola is known as the daughter of American music executive and former Sony Music Entertainment CEO Tommy Mottola.
  • A. Madeline Neroni
    Madeline Neroni is a captivating, manipulative, and physically disabled beauty in Anthony Trollope’s novel "Barchester Towers," known for using her charm and wit to influence the social and romantic intrigues around her.
  • B. Sophia Petrillo
    Sophia Petrillo is the sharp-tongued, witty Sicilian matriarch from the sitcom "The Golden Girls," known for her blunt humor and memorable one-liners.
  • C. Kristen Tomassi
    Kristen Tomassi is an American architect and designer best known as the first wife of British entrepreneur Richard Branson.
  • D. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • E. Kate Mestitz
    Kate Mestitz is an Australian psychologist best known for her long-term marriage to actor Guy Pearce.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b6dda48190a2e79084adea6ec1 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aeb39f627c8190b9961cfeb4b257ca completed March 9, 2026, 11:48 a.m.
NEDg Description generation batch_69aeb41b815881908622ef49e6817629 completed March 9, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69aeb58e033c8190afc79f964ba203c4 completed March 9, 2026, 11:57 a.m.
Created at: March 1, 2026, 7:51 p.m.