Triple

T3564126
Position Surface form Disambiguated ID Type / Status
Subject Martha Stewart E75403 entity
Predicate spouse P13 FINISHED
Object Andrew Stewart
Andrew Stewart is an American lawyer and publisher best known as the former husband of lifestyle entrepreneur Martha Stewart.
E377896 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: Andrew Stewart | Statement: [Martha Stewart, spouse, Andrew Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Stewart
Context triple: [Martha Stewart, spouse, Andrew Stewart]
  • A. Alan Stewart
    Alan Stewart is a cinematographer known for his work on major feature films, including collaborations with director Guy Ritchie.
  • B. Alasdair Steedman
    Alasdair Steedman was a senior Royal Air Force officer who rose to high command, including leadership of the RAF’s Fighter Command.
  • C. Donald Stewart
    Donald Stewart was a British Indian Army general who played a prominent leadership role in the late 19th-century campaigns on the Northwest Frontier, including the Second Anglo-Afghan War.
  • D. Alastair Stewart
    Alastair Stewart is a British journalist and long-serving television news presenter best known for his work with ITN and ITV News.
  • E. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • 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: Andrew Stewart
Triple: [Martha Stewart, spouse, Andrew Stewart]
Generated description
Andrew Stewart is an American lawyer and publisher best known as the former husband of lifestyle entrepreneur Martha Stewart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Stewart
Target entity description: Andrew Stewart is an American lawyer and publisher best known as the former husband of lifestyle entrepreneur Martha Stewart.
  • A. Alan Stewart
    Alan Stewart is a cinematographer known for his work on major feature films, including collaborations with director Guy Ritchie.
  • B. Alasdair Steedman
    Alasdair Steedman was a senior Royal Air Force officer who rose to high command, including leadership of the RAF’s Fighter Command.
  • C. Donald Stewart
    Donald Stewart was a British Indian Army general who played a prominent leadership role in the late 19th-century campaigns on the Northwest Frontier, including the Second Anglo-Afghan War.
  • D. Alastair Stewart
    Alastair Stewart is a British journalist and long-serving television news presenter best known for his work with ITN and ITV News.
  • E. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a76c008190a2056b6d990776fe completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48825d5a08190b57407b660fb5954 completed March 13, 2026, 9:56 p.m.
NEDg Description generation batch_69b4904097648190a26bce8da54a613f completed March 13, 2026, 10:31 p.m.
NED2 Entity disambiguation (via description) batch_69b4aefb58448190b7d34343a5dbb0f6 completed March 14, 2026, 12:42 a.m.
Created at: March 8, 2026, 3:21 p.m.