Triple

T13286142
Position Surface form Disambiguated ID Type / Status
Subject The Bonnie Hunt Show E316448 entity
Predicate executiveProducer P7225 FINISHED
Object Ellen Rakieten
Ellen Rakieten is a television producer best known for her long tenure on "The Oprah Winfrey Show" and other major talk and entertainment programs.
E1032522 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: Ellen Rakieten | Statement: [The Bonnie Hunt Show, executiveProducer, Ellen Rakieten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Rakieten
Context triple: [The Bonnie Hunt Show, executiveProducer, Ellen Rakieten]
  • A. Ellen Benz
    Ellen Benz was a daughter of German engineer and automobile pioneer Karl Benz.
  • B. Ellen Benrath
    Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
  • C. Ruth Gikow
    Ruth Gikow was a Russian-born American painter and muralist known for her socially conscious, figurative depictions of urban life in mid-20th-century New York City.
  • D. Nina Van Pallandt
    Nina Van Pallandt is a Danish singer and actress best known as half of the folk duo Nina & Frederik and for her roles in several 1970s and 1980s films, including works by director Robert Altman.
  • E. Elsa Korneck
    Elsa Korneck was a German actress best known for her work on stage and screen in the early 20th century.
  • 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: Ellen Rakieten
Triple: [The Bonnie Hunt Show, executiveProducer, Ellen Rakieten]
Generated description
Ellen Rakieten is a television producer best known for her long tenure on "The Oprah Winfrey Show" and other major talk and entertainment programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ellen Rakieten
Target entity description: Ellen Rakieten is a television producer best known for her long tenure on "The Oprah Winfrey Show" and other major talk and entertainment programs.
  • A. Ellen Benz
    Ellen Benz was a daughter of German engineer and automobile pioneer Karl Benz.
  • B. Ellen Benrath
    Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
  • C. Ruth Gikow
    Ruth Gikow was a Russian-born American painter and muralist known for her socially conscious, figurative depictions of urban life in mid-20th-century New York City.
  • D. Nina Van Pallandt
    Nina Van Pallandt is a Danish singer and actress best known as half of the folk duo Nina & Frederik and for her roles in several 1970s and 1980s films, including works by director Robert Altman.
  • E. Elsa Korneck
    Elsa Korneck was a German actress best known for her work on stage and screen in the early 20th century.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990759ebc8190a9487a59e37a69e2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d26a548190be15872154c9a942 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177e07508190b46e6a12f09e7986 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f717e72b988190927b628022bcbf12 completed May 3, 2026, 9:39 a.m.
Created at: April 9, 2026, 9:27 p.m.