Triple

T12699943
Position Surface form Disambiguated ID Type / Status
Subject Telepictures E303432 entity
Predicate notableWork P4 FINISHED
Object Jenny Jones
Jenny Jones is an American daytime talk show that aired in the 1990s and early 2000s, known for its provocative topics, confrontational segments, and sensational makeover and relationship episodes.
 E999590 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 Jones | Statement: [Telepictures, notableWork, Jenny Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jenny Jones
Context triple: [Telepictures, notableWork, Jenny Jones]
  • A. Janet Jones
    Janet Jones is an American actress and former model best known for her film and television roles in the 1980s and 1990s and for being married to hockey legend Wayne Gretzky.
  • B. Jill Jones
    Jill Jones is an American singer and songwriter best known for her work with Prince and her releases on his Paisley Park Records label.
  • C. Renee Jones
    Renee Jones is the wife of bestselling American legal-thriller author John Grisham.
  • D. Judy Jones
    Judy Jones is best known as the wife of American character actor Warren Oates.
  • E. Rachel Jones
    Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
  • 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 Jones
Triple: [Telepictures, notableWork, Jenny Jones]
Generated description
Jenny Jones is an American daytime talk show that aired in the 1990s and early 2000s, known for its provocative topics, confrontational segments, and sensational makeover and relationship episodes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jenny Jones
Target entity description: Jenny Jones is an American daytime talk show that aired in the 1990s and early 2000s, known for its provocative topics, confrontational segments, and sensational makeover and relationship episodes.
  • A. Janet Jones
    Janet Jones is an American actress and former model best known for her film and television roles in the 1980s and 1990s and for being married to hockey legend Wayne Gretzky.
  • B. Jill Jones
    Jill Jones is an American singer and songwriter best known for her work with Prince and her releases on his Paisley Park Records label.
  • C. Renee Jones
    Renee Jones is the wife of bestselling American legal-thriller author John Grisham.
  • D. Judy Jones
    Judy Jones is best known as the wife of American character actor Warren Oates.
  • E. Rachel Jones
    Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ef65ac8190aedf9ade3a68e24e completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7c4c608190a1786accf8d86141 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d64ed3481908d434c20796866f9 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e82e35081909c4b5fad7e941610 completed May 2, 2026, 10:45 p.m.
Created at: April 9, 2026, 5:22 p.m.