Triple

T22754656
Position Surface form Disambiguated ID Type / Status
Subject Patricia Blair E562804 entity
Predicate spouse P13 FINISHED
Object Martin S. Colbert
Martin S. Colbert is best known as the husband of American actress Patricia Blair.
E1571751 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: Martin S. Colbert | Statement: [Patricia Blair, spouse, Martin S. Colbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin S. Colbert
Context triple: [Patricia Blair, spouse, Martin S. Colbert]
  • A. John Roberdeau
    John Roberdeau is a film producer best known for his work on Terrence Malick’s acclaimed war drama "The Thin Red Line."
  • B. James A. Saxton
    James A. Saxton was an American banker and prominent Canton, Ohio businessman best known as the father of First Lady Ida Saxton McKinley.
  • C. Benjamin B. Redding
    Benjamin B. Redding was a 19th-century American politician and civic leader after whom the city of Redding, California, is named.
  • D. James G. Roche
    James G. Roche is a former U.S. Secretary of the Air Force and retired Navy officer known for his leadership in defense policy and military transformation.
  • E. John B. Van Etten
    John B. Van Etten was an American lawyer and politician from New York who served in the late 19th and early 20th centuries.
  • 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: Martin S. Colbert
Triple: [Patricia Blair, spouse, Martin S. Colbert]
Generated description
Martin S. Colbert is best known as the husband of American actress Patricia Blair.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin S. Colbert
Target entity description: Martin S. Colbert is best known as the husband of American actress Patricia Blair.
  • A. John Roberdeau
    John Roberdeau is a film producer best known for his work on Terrence Malick’s acclaimed war drama "The Thin Red Line."
  • B. James A. Saxton
    James A. Saxton was an American banker and prominent Canton, Ohio businessman best known as the father of First Lady Ida Saxton McKinley.
  • C. Benjamin B. Redding
    Benjamin B. Redding was a 19th-century American politician and civic leader after whom the city of Redding, California, is named.
  • D. James G. Roche
    James G. Roche is a former U.S. Secretary of the Air Force and retired Navy officer known for his leadership in defense policy and military transformation.
  • E. John B. Van Etten
    John B. Van Etten was an American lawyer and politician from New York who served in the late 19th and early 20th centuries.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179bc48788190b3deb9287d02cb2c completed April 29, 2026, 3:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23ce77e8819098246b0b588d7f52 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271d8fc48190a818c73660218022 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c2951a718819088c1c7d8435586ec completed May 19, 2026, 9:11 a.m.
Created at: April 17, 2026, 3:25 p.m.