Triple

T6702713
Position Surface form Disambiguated ID Type / Status
Subject Teri Garr E152918 entity
Predicate spouse P13 FINISHED
Object John O'Neil
John O'Neil is best known as the former husband of American actress Teri Garr.
 E614437 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: John O'Neil | Statement: [Teri Garr, spouse, John O'Neil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John O'Neil
Context triple: [Teri Garr, spouse, John O'Neil]
  • A. John O’Neill
    John O’Neill was a real-life FBI counterterrorism expert known for his early warnings about al-Qaeda and is prominently portrayed as a central figure in the book and TV adaptation "The Looming Tower."
  • B. John Garrison
    John Garrison is a British singer-songwriter and musician known for his solo work and for contributing bass and backing vocals to James Blunt’s music.
  • C. James Dillon
    James Dillon was an Irish politician who led the Fine Gael party and served as a prominent member of Dáil Éireann in the mid-20th century.
  • D. Carl Benton Reid
    Carl Benton Reid was an American character actor known for his work in mid-20th-century film, television, and theater.
  • E. John O'Brien
    John O'Brien is an American screenwriter best known for co-writing the 2004 film adaptation of the classic television series "Starsky & Hutch."
  • 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: John O'Neil
Triple: [Teri Garr, spouse, John O'Neil]
Generated description
John O'Neil is best known as the former husband of American actress Teri Garr.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John O'Neil
Target entity description: John O'Neil is best known as the former husband of American actress Teri Garr.
  • A. John O’Neill
    John O’Neill was a real-life FBI counterterrorism expert known for his early warnings about al-Qaeda and is prominently portrayed as a central figure in the book and TV adaptation "The Looming Tower."
  • B. John Garrison
    John Garrison is a British singer-songwriter and musician known for his solo work and for contributing bass and backing vocals to James Blunt’s music.
  • C. James Dillon
    James Dillon was an Irish politician who led the Fine Gael party and served as a prominent member of Dáil Éireann in the mid-20th century.
  • D. Carl Benton Reid
    Carl Benton Reid was an American character actor known for his work in mid-20th-century film, television, and theater.
  • E. John O'Brien
    John O'Brien is an American screenwriter best known for co-writing the 2004 film adaptation of the classic television series "Starsky & Hutch."
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e5eb0c81908c4fa3febd2d23ca completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70083e1948190b5ee3fffb9783531 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c705220cb0819081a70175c150d138 completed March 27, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_69c705db3098819083ce9a93e429b758 completed March 27, 2026, 10:34 p.m.
Created at: March 27, 2026, 2:06 p.m.