Triple

T9610115
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Calvert E232074 entity
Predicate spouse P13 FINISHED
Object David Stuart
David Stuart was an American physician and politician from Virginia who served as a commissioner for the federal district that became Washington, D.C.
 E810102 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: David Stuart | Statement: [Eleanor Calvert, spouse, David Stuart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Stuart
Context triple: [Eleanor Calvert, spouse, David Stuart]
  • A. David Stuart
    David Stuart is an American archaeologist and epigrapher renowned for his groundbreaking work in deciphering Maya hieroglyphic writing.
  • B. David Stevenson
    David Stevenson was a Scottish lighthouse engineer and member of the famous Stevenson family of civil engineers.
  • C. Andrew Stewart
    Andrew Stewart is an American lawyer and publisher best known as the former husband of lifestyle entrepreneur Martha Stewart.
  • D. Andrew Stewart
    Andrew Stewart was a medieval Scottish nobleman of the influential Stewart family, known primarily as a son of Walter Stewart, 6th High Steward of Scotland.
  • E. John Burningham
    John Burningham was a renowned British author and illustrator of children's books, celebrated for his distinctive, whimsical artwork and storytelling.
  • 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: David Stuart
Triple: [Eleanor Calvert, spouse, David Stuart]
Generated description
David Stuart was an American physician and politician from Virginia who served as a commissioner for the federal district that became Washington, D.C.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Stuart
Target entity description: David Stuart was an American physician and politician from Virginia who served as a commissioner for the federal district that became Washington, D.C.
  • A. David Stuart
    David Stuart is an American archaeologist and epigrapher renowned for his groundbreaking work in deciphering Maya hieroglyphic writing.
  • B. David Stevenson
    David Stevenson was a Scottish lighthouse engineer and member of the famous Stevenson family of civil engineers.
  • C. Andrew Stewart
    Andrew Stewart is an American lawyer and publisher best known as the former husband of lifestyle entrepreneur Martha Stewart.
  • D. Andrew Stewart
    Andrew Stewart was a medieval Scottish nobleman of the influential Stewart family, known primarily as a son of Walter Stewart, 6th High Steward of Scotland.
  • E. John Burningham
    John Burningham was a renowned British author and illustrator of children's books, celebrated for his distinctive, whimsical artwork and storytelling.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a8469e081909c8fb7c84ffea2b3 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179491ecc8190a72be68cc5f572b2 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17a5df01081909f20c4a722cef83d completed April 4, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69d17adb55648190b01060ade60b0fde completed April 4, 2026, 8:55 p.m.
Created at: March 30, 2026, 8:08 p.m.