Triple

T4609228
Position Surface form Disambiguated ID Type / Status
Subject Harry Crosby E100513 entity
Predicate spouse P13 FINISHED
Object Kathryn Grant
Kathryn Grant is an American actress and singer best known for her film and television work in the 1950s and 1960s.
 E100518 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 Grant | Statement: [Harry Crosby, spouse, Kathryn Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kathryn Grant
Context triple: [Harry Crosby, spouse, Kathryn Grant]
  • A. Kathryn Grant
    Kathryn Grant is an American actress and singer best known for her film and television work in the 1950s and 1960s and for her marriage to entertainer Bing Crosby.
  • B. Katherine Griffith
    Katherine Griffith was an early 20th-century American film actress known for her roles in silent-era motion pictures.
  • C. Elinor Donahue
    Elinor Donahue is an American actress best known for her work in classic television sitcoms of the 1950s and 1960s.
  • D. Elizabeth Kennedy-Laurie Dickson
    Elizabeth Kennedy-Laurie Dickson was the mother of early motion picture pioneer William Kennedy Laurie Dickson.
  • E. Carreen O'Hara
    Carreen O'Hara is a gentle, devout younger sister of Scarlett O'Hara in Margaret Mitchell's novel "Gone with the Wind."
  • 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 Grant
Triple: [Harry Crosby, spouse, Kathryn Grant]
Generated description
Kathryn Grant is an American actress and singer best known for her film and television work in the 1950s and 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kathryn Grant
Target entity description: Kathryn Grant is an American actress and singer best known for her film and television work in the 1950s and 1960s.
  • A. Kathryn Grant chosen
    Kathryn Grant is an American actress and singer best known for her film and television work in the 1950s and 1960s and for her marriage to entertainer Bing Crosby.
  • B. Katherine Griffith
    Katherine Griffith was an early 20th-century American film actress known for her roles in silent-era motion pictures.
  • C. Elinor Donahue
    Elinor Donahue is an American actress best known for her work in classic television sitcoms of the 1950s and 1960s.
  • D. Elizabeth Kennedy-Laurie Dickson
    Elizabeth Kennedy-Laurie Dickson was the mother of early motion picture pioneer William Kennedy Laurie Dickson.
  • E. Carreen O'Hara
    Carreen O'Hara is a gentle, devout younger sister of Scarlett O'Hara in Margaret Mitchell's novel "Gone with the Wind."
  • F. None of above.

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_69bdfa789cdc8190add02a5970f9a0b6 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb385ccc8190ab8de82c6df645cf completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbcdb6d881909feb3a6be81a567f completed March 21, 2026, 2 a.m.
Created at: March 20, 2026, 1:12 p.m.