Triple

T4609458
Position Surface form Disambiguated ID Type / Status
Subject Kathryn Grant E100518 entity
Predicate alsoKnownAs P39 FINISHED
Object Kathryn Crosby
Kathryn Crosby is an American actress and singer best known for her film and television work in the 1950s and 1960s and for being the second wife of entertainer Bing Crosby.
 E525790 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: Kathryn Crosby | Statement: [Kathryn Grant, alsoKnownAs, Kathryn Crosby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kathryn Crosby
Context triple: [Kathryn Grant, alsoKnownAs, Kathryn Crosby]
  • A. Kathryn Hays
    Kathryn Hays was an American actress best known for her long-running role as Kim Hughes on the soap opera "As the World Turns."
  • B. Cynthia Ludwig
    Cynthia Ludwig is a film editor known for her work on the 2009 horror film "My Bloody Valentine 3D."
  • C. Kathryn Stevens
    Kathryn Stevens is known as the daughter of the late U.S. Supreme Court Justice John Paul Stevens.
  • D. Lisa Loring
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
  • E. Coleen Gray
    Coleen Gray was an American film and television actress best known for her roles in classic 1940s and 1950s noir and Western films.
  • 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: Kathryn Crosby
Triple: [Kathryn Grant, alsoKnownAs, Kathryn Crosby]
Generated description
Kathryn Crosby is an American actress and singer best known for her film and television work in the 1950s and 1960s and for being the second wife of entertainer Bing Crosby.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kathryn Crosby
Target entity description: Kathryn Crosby is an American actress and singer best known for her film and television work in the 1950s and 1960s and for being the second wife of entertainer Bing Crosby.
  • A. Kathryn Hays
    Kathryn Hays was an American actress best known for her long-running role as Kim Hughes on the soap opera "As the World Turns."
  • B. Cynthia Ludwig
    Cynthia Ludwig is a film editor known for her work on the 2009 horror film "My Bloody Valentine 3D."
  • C. Kathryn Stevens
    Kathryn Stevens is known as the daughter of the late U.S. Supreme Court Justice John Paul Stevens.
  • D. Lisa Loring
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
  • E. Coleen Gray
    Coleen Gray was an American film and television actress best known for her roles in classic 1940s and 1950s noir and Western films.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599f08d88190ad4bed8bafb592cd completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9f5291f881909d9470a728667346 completed March 22, 2026, 7:50 a.m.
NEDg Description generation batch_69bf9fd66250819093c3278a5c2d3854 completed March 22, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69bfa04278688190b13b011342047e4c completed March 22, 2026, 7:54 a.m.
Created at: March 20, 2026, 1:12 p.m.