Triple

T11668996
Position Surface form Disambiguated ID Type / Status
Subject Reb Ralston E277327 entity
Predicate familyName P18 FINISHED
Object Ralston
Ralston is a surname of English and Scottish origin borne by various notable individuals across different fields.
 E939498 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: Ralston | Statement: [Reb Ralston, familyName, Ralston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ralston
Context triple: [Reb Ralston, familyName, Ralston]
  • A. Reynoldston
    Reynoldston is a rural village situated in the heart of the Gower Peninsula in Swansea, Wales, known for its scenic surroundings and traditional community character.
  • B. Warrenton
    Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern Virginia.
  • C. Arrington
    Arrington is a surname most notably associated with individuals such as former NFL cornerback Kyle Arrington.
  • D. Randolph
    Randolph is a masculine given name of English origin that has been borne by various notable figures, including actors, politicians, and athletes.
  • E. Randolph
    Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
  • 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: Ralston
Triple: [Reb Ralston, familyName, Ralston]
Generated description
Ralston is a surname of English and Scottish origin borne by various notable individuals across different fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ralston
Target entity description: Ralston is a surname of English and Scottish origin borne by various notable individuals across different fields.
  • A. Reynoldston
    Reynoldston is a rural village situated in the heart of the Gower Peninsula in Swansea, Wales, known for its scenic surroundings and traditional community character.
  • B. Warrenton
    Warrenton is a small historic town in Fauquier County that serves as a commercial and civic hub for the surrounding rural areas of Northern Virginia.
  • C. Arrington
    Arrington is a surname most notably associated with individuals such as former NFL cornerback Kyle Arrington.
  • D. Randolph
    Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
  • E. Randolph
    Randolph is a prominent English-origin surname historically associated with influential political and social figures, particularly in early American history.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13c3ea648190ae18cd2869be74ad completed April 27, 2026, 7:44 a.m.
NEDg Description generation batch_69ef3550fae881909246cd4cca047a19 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef519f95488190b4b5a167aa930133 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:39 p.m.