Triple

T11037088
Position Surface form Disambiguated ID Type / Status
Subject Salvation E260913 entity
Predicate creator P184 FINISHED
Object Liz Kruger
Liz Kruger is a television writer and producer best known for co-creating and showrunning series such as the sci-fi drama "Salvation."
E941241 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: Liz Kruger | Statement: [Salvation, creator, Liz Kruger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liz Kruger
Context triple: [Salvation, creator, Liz Kruger]
  • A. Nancy Kruse
    Nancy Kruse is a writer known for her work on the story of the animated film "Encanto."
  • B. 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.
  • C. Loralee Czuchna
    Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
  • D. 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.
  • E. Liza Huber
    Liza Huber is an American actress best known for her role on the soap opera "Passions" and as the daughter of daytime television star Susan Lucci.
  • 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: Liz Kruger
Triple: [Salvation, creator, Liz Kruger]
Generated description
Liz Kruger is a television writer and producer best known for co-creating and showrunning series such as the sci-fi drama "Salvation."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liz Kruger
Target entity description: Liz Kruger is a television writer and producer best known for co-creating and showrunning series such as the sci-fi drama "Salvation."
  • A. Nancy Kruse
    Nancy Kruse is a writer known for her work on the story of the animated film "Encanto."
  • B. 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.
  • C. Loralee Czuchna
    Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
  • D. 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.
  • E. Liza Huber
    Liza Huber is an American actress best known for her role on the soap opera "Passions" and as the daughter of daytime television star Susan Lucci.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e9e3fc8190802195ac9fcb8e28 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef8185c6e08190949020a80c24f2b8 completed April 27, 2026, 3:32 p.m.
NEDg Description generation batch_69ef96ab29d48190b225504856007384 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efd64bfa7081909715aa64d80fadf3 completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:25 p.m.