Triple

T9983925
Position Surface form Disambiguated ID Type / Status
Subject Midnight Caller E196518 entity
Predicate castMember P1668 FINISHED
Object Wendy Kilbourne
Wendy Kilbourne is an American former television actress best known for her roles in 1980s and early 1990s TV dramas.
E838281 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: Wendy Kilbourne | Statement: [Midnight Caller, castMember, Wendy Kilbourne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Kilbourne
Context triple: [Midnight Caller, castMember, Wendy Kilbourne]
  • A. Wendy Mills
    Wendy Mills is a person notable enough to be specifically cited as a bearer of the surname Mills.
  • B. Wendy Hughes
    Wendy Hughes was an acclaimed Australian actress known for her versatile performances in film, television, and theatre from the 1970s onward.
  • C. Kathy Walsh
    Kathy Walsh is a notable individual recognized for achievements significant enough to be distinguished among others sharing the Walsh surname.
  • D. Wendy Ferguson
    Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
  • E. Suzanne Kilpatrick
    Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
  • 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: Wendy Kilbourne
Triple: [Midnight Caller, castMember, Wendy Kilbourne]
Generated description
Wendy Kilbourne is an American former television actress best known for her roles in 1980s and early 1990s TV dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wendy Kilbourne
Target entity description: Wendy Kilbourne is an American former television actress best known for her roles in 1980s and early 1990s TV dramas.
  • A. Wendy Mills
    Wendy Mills is a person notable enough to be specifically cited as a bearer of the surname Mills.
  • B. Wendy Hughes
    Wendy Hughes was an acclaimed Australian actress known for her versatile performances in film, television, and theatre from the 1970s onward.
  • C. Kathy Walsh
    Kathy Walsh is a notable individual recognized for achievements significant enough to be distinguished among others sharing the Walsh surname.
  • D. Wendy Ferguson
    Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
  • E. Suzanne Kilpatrick
    Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299f2a8908190a3a483350af0b5a9 completed April 5, 2026, 5:20 p.m.
NEDg Description generation batch_69d29b28f48081909f7e0487800ebe52 completed April 5, 2026, 5:26 p.m.
NED2 Entity disambiguation (via description) batch_69d29be3713c819089843c4ec2be93f1 completed April 5, 2026, 5:29 p.m.
Created at: March 30, 2026, 8:49 p.m.