Triple

T3387668
Position Surface form Disambiguated ID Type / Status
Subject The Jay Leno Show E71340 entity
Predicate executiveProducer P7225 FINISHED
Object Kaye Krenz
Kaye Krenz is a television producer best known for serving as an executive producer on "The Jay Leno Show."
E372243 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: Kaye Krenz | Statement: [The Jay Leno Show, executiveProducer, Kaye Krenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaye Krenz
Context triple: [The Jay Leno Show, executiveProducer, Kaye Krenz]
  • A. Cathy Konrad
    Cathy Konrad is an American film and television producer known for her work on acclaimed projects such as "Walk the Line," "Girl, Interrupted," and the TV series "Scream."
  • B. Julie Kroitor
    Julie Kroitor is a child of Canadian filmmaker and IMAX co-founder Roman Kroitor.
  • C. Fern Kraemer
    Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
  • D. Karen Kempner
    Karen Kempner is an American psychiatrist best known as the mother of Facebook co-founder Mark Zuckerberg.
  • E. Kathy Speer
    Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
  • 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: Kaye Krenz
Triple: [The Jay Leno Show, executiveProducer, Kaye Krenz]
Generated description
Kaye Krenz is a television producer best known for serving as an executive producer on "The Jay Leno Show."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaye Krenz
Target entity description: Kaye Krenz is a television producer best known for serving as an executive producer on "The Jay Leno Show."
  • A. Cathy Konrad
    Cathy Konrad is an American film and television producer known for her work on acclaimed projects such as "Walk the Line," "Girl, Interrupted," and the TV series "Scream."
  • B. Julie Kroitor
    Julie Kroitor is a child of Canadian filmmaker and IMAX co-founder Roman Kroitor.
  • C. Fern Kraemer
    Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
  • D. Karen Kempner
    Karen Kempner is an American psychiatrist best known as the mother of Facebook co-founder Mark Zuckerberg.
  • E. Kathy Speer
    Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb66448fc8190a8582145f02bb1d9 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402c6e5bc819099a5148ad509b22d completed March 13, 2026, 12:27 p.m.
NEDg Description generation batch_69b40335a05c8190b51414f284bd6429 completed March 13, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_69b40a6bd4888190a26989e5f6770e2c completed March 13, 2026, 1 p.m.
Created at: March 8, 2026, 3:14 p.m.