Triple

T9752764
Position Surface form Disambiguated ID Type / Status
Subject Hayden Panettiere E236479 entity
Predicate mother P120 FINISHED
Object Lesley Vogel
Lesley Vogel is an American actress and television producer best known as the mother of actress Hayden Panettiere.
 E843886 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: Lesley Vogel | Statement: [Hayden Panettiere, mother, Lesley Vogel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lesley Vogel
Context triple: [Hayden Panettiere, mother, Lesley Vogel]
  • A. Susan Vogel
    Susan Vogel is an American art historian and curator renowned for her influential work in the field of African art, including founding and directing major institutions and organizing landmark exhibitions.
  • B. Joyce Vogel
    Joyce Vogel is an individual notable enough to be recognized as a significant bearer of the surname Vogel.
  • C. Carole Kravetz
    Carole Kravetz is a film editor known for her work on the crime thriller "One False Move."
  • D. Lila Vogel
    Lila Vogel is the mother of journalist Lloyd Vogel, a character in the film "A Beautiful Day in the Neighborhood."
  • E. Donna Dubrow
    Donna Dubrow is a film producer best known for her work in the 1990s and for her former marriage to action director John McTiernan.
  • 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: Lesley Vogel
Triple: [Hayden Panettiere, mother, Lesley Vogel]
Generated description
Lesley Vogel is an American actress and television producer best known as the mother of actress Hayden Panettiere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lesley Vogel
Target entity description: Lesley Vogel is an American actress and television producer best known as the mother of actress Hayden Panettiere.
  • A. Susan Vogel
    Susan Vogel is an American art historian and curator renowned for her influential work in the field of African art, including founding and directing major institutions and organizing landmark exhibitions.
  • B. Joyce Vogel
    Joyce Vogel is an individual notable enough to be recognized as a significant bearer of the surname Vogel.
  • C. Carole Kravetz
    Carole Kravetz is a film editor known for her work on the crime thriller "One False Move."
  • D. Lila Vogel
    Lila Vogel is the mother of journalist Lloyd Vogel, a character in the film "A Beautiful Day in the Neighborhood."
  • E. Donna Dubrow
    Donna Dubrow is a film producer best known for her work in the 1990s and for her former marriage to action director John McTiernan.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fae332c8190b11f0258b5a5ae2b completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2e4fa938881908253aed52870210d completed April 5, 2026, 10:40 p.m.
NEDg Description generation batch_69d2e6f0aa988190aa9a866afcc2a1a2 completed April 5, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69d2e78384f48190abb7bdd7fcadcd9a completed April 5, 2026, 10:51 p.m.
Created at: March 30, 2026, 8:24 p.m.