Triple

T93567
Position Surface form Disambiguated ID Type / Status
Subject Shirley Ann Jackson E1880 entity
Predicate familyName P18 FINISHED
Object Jackson
Jackson is a common English surname borne by numerous notable figures across politics, science, sports, and the arts.
 E18159 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: Jackson | Statement: [Shirley Ann Jackson, familyName, Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jackson
Context triple: [Shirley Ann Jackson, familyName, Jackson]
  • A. Hamilton
    Hamilton is a large town in South Lanarkshire, Scotland, historically known as a key administrative and market center in the region.
  • B. Hamilton
    Hamilton is a masculine given name of English and Scottish origin, used both as a first name and a surname.
  • C. Hamilton
    Hamilton is the small, bustling port city that serves as the commercial and cultural hub of Bermuda.
  • D. Memphis
    Memphis is an ancient Egyptian capital near modern Cairo, renowned as a major political, religious, and cultural center and closely associated with the nearby pyramid fields and necropolises.
  • E. Lexington
    Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
  • 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: Jackson
Triple: [Shirley Ann Jackson, familyName, Jackson]
Generated description
Jackson is a common English surname borne by numerous notable figures across politics, science, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jackson
Target entity description: Jackson is a common English surname borne by numerous notable figures across politics, science, sports, and the arts.
  • A. Hamilton
    Hamilton is a large town in South Lanarkshire, Scotland, historically known as a key administrative and market center in the region.
  • B. Hamilton
    Hamilton is a masculine given name of English and Scottish origin, used both as a first name and a surname.
  • C. Hamilton
    Hamilton is the small, bustling port city that serves as the commercial and cultural hub of Bermuda.
  • D. Memphis
    Memphis is an ancient Egyptian capital near modern Cairo, renowned as a major political, religious, and cultural center and closely associated with the nearby pyramid fields and necropolises.
  • E. Lexington
    Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd28e988190bde699647ee5b16b completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52b004c8190a74c495d3213973d completed Feb. 28, 2026, 10:36 a.m.
NEDg Description generation batch_69a2c64913888190a09afdf3c8f3ab46 completed Feb. 28, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69a2c717e9b88190a44b26128970a286 completed Feb. 28, 2026, 10:44 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.