Triple

T9210006
Position Surface form Disambiguated ID Type / Status
Subject Kathy Baker E221087 entity
Predicate previousSpouse P493 FINISHED
Object Donald Camillieri
Donald Camillieri is known as the former husband of American actress Kathy Baker.
 E785278 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: Donald Camillieri | Statement: [Kathy Baker, previousSpouse, Donald Camillieri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donald Camillieri
Context triple: [Kathy Baker, previousSpouse, Donald Camillieri]
  • A. Mario Delpini
    Mario Delpini is an Italian Roman Catholic prelate who serves as the Archbishop of Milan, one of the most prominent dioceses in the Catholic Church.
  • B. Charles Camarda
    Charles Camarda is a NASA astronaut and aerospace engineer best known for flying on the Space Shuttle Discovery’s STS-114 “Return to Flight” mission following the Columbia disaster.
  • C. Ralph Giordano
    Ralph Giordano was a German writer, journalist, and Holocaust survivor best known for his autobiographical novel "Die Bertinis" and his outspoken engagement against neo-Nazism and antisemitism.
  • D. Charles Castaldi
    Charles Castaldi is a film producer best known for his work on the music documentary "Soul Men."
  • E. Frank Galati
    Frank Galati was an American director, adapter, and screenwriter known for his acclaimed stage and film adaptations of literary works.
  • 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: Donald Camillieri
Triple: [Kathy Baker, previousSpouse, Donald Camillieri]
Generated description
Donald Camillieri is known as the former husband of American actress Kathy Baker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donald Camillieri
Target entity description: Donald Camillieri is known as the former husband of American actress Kathy Baker.
  • A. Mario Delpini
    Mario Delpini is an Italian Roman Catholic prelate who serves as the Archbishop of Milan, one of the most prominent dioceses in the Catholic Church.
  • B. Charles Camarda
    Charles Camarda is a NASA astronaut and aerospace engineer best known for flying on the Space Shuttle Discovery’s STS-114 “Return to Flight” mission following the Columbia disaster.
  • C. Ralph Giordano
    Ralph Giordano was a German writer, journalist, and Holocaust survivor best known for his autobiographical novel "Die Bertinis" and his outspoken engagement against neo-Nazism and antisemitism.
  • D. Charles Castaldi
    Charles Castaldi is a film producer best known for his work on the music documentary "Soul Men."
  • E. Frank Galati
    Frank Galati was an American director, adapter, and screenwriter known for his acclaimed stage and film adaptations of literary works.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b54520819087030148dadd6385 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065efcb64819097d4624bd9e423d2 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d06770ccf08190b00bf35c16a80071 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d06864b8c48190b8e08ab9c1c85c9a completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.