Triple

T6979279
Position Surface form Disambiguated ID Type / Status
Subject Judy Agnew E161796 entity
Predicate child P120 FINISHED
Object Pamela Agnew
Pamela Agnew is one of the daughters of former U.S. Second Lady Judy Agnew and Vice President Spiro T. Agnew.
E722333 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: Pamela Agnew | Statement: [Judy Agnew, child, Pamela Agnew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamela Agnew
Context triple: [Judy Agnew, child, Pamela Agnew]
  • A. Pamela Duncan
    Pamela Duncan was an American film and television actress active in the 1950s and 1960s, known for her roles in low-budget Westerns and genre pictures.
  • B. Pamela Reeves
    Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
  • C. Janet Patterson
    Janet Patterson was an acclaimed Australian costume and production designer known for her richly detailed period work on films such as "The Piano" and "Oscar and Lucinda."
  • D. Marsha Sutherland
    Marsha Sutherland is known as the wife of pioneering computer scientist Ivan Sutherland.
  • E. Pamela Martin
    Pamela Martin is an American film editor known for her work on acclaimed movies such as "The Fighter" and "Little Miss Sunshine."
  • 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: Pamela Agnew
Triple: [Judy Agnew, child, Pamela Agnew]
Generated description
Pamela Agnew is one of the daughters of former U.S. Second Lady Judy Agnew and Vice President Spiro T. Agnew.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pamela Agnew
Target entity description: Pamela Agnew is one of the daughters of former U.S. Second Lady Judy Agnew and Vice President Spiro T. Agnew.
  • A. Pamela Duncan
    Pamela Duncan was an American film and television actress active in the 1950s and 1960s, known for her roles in low-budget Westerns and genre pictures.
  • B. Pamela Reeves
    Pamela Reeves was a respected American attorney and federal judge who served on the U.S. District Court for the Eastern District of Tennessee and was known for her trailblazing role as the court’s first female chief judge.
  • C. Janet Patterson
    Janet Patterson was an acclaimed Australian costume and production designer known for her richly detailed period work on films such as "The Piano" and "Oscar and Lucinda."
  • D. Marsha Sutherland
    Marsha Sutherland is known as the wife of pioneering computer scientist Ivan Sutherland.
  • E. Pamela Martin
    Pamela Martin is an American film editor known for her work on acclaimed movies such as "The Fighter" and "Little Miss Sunshine."
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6aa6188190af7656ff4d0e3230 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd66d1507c8190a84a69cd0130bb3b completed April 1, 2026, 6:41 p.m.
NEDg Description generation batch_69cd6d4fa17481909f28ad7eb9bceb42 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7da4f3a0819080eed3d03c293789 completed April 1, 2026, 8:18 p.m.
Created at: March 27, 2026, 2:31 p.m.