Triple

T20251596
Position Surface form Disambiguated ID Type / Status
Subject Ellen Lewis Herndon E498568 entity
Predicate familyName P18 FINISHED
Object Herndon
Herndon is a surname of English origin borne by various notable individuals, including figures in American political and social history.
 E1421809 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: Herndon | Statement: [Ellen Lewis Herndon, familyName, Herndon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Herndon
Context triple: [Ellen Lewis Herndon, familyName, Herndon]
  • A. Herndon
    Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
  • B. Falls Church
    Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
  • C. Centreville
    Centreville is a suburban community in Fairfax County, Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • D. Leesburg
    Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
  • E. Leesburg
    Leesburg is a small city in central Florida known for its historic downtown, numerous lakes, and annual festivals such as Bikefest.
  • 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: Herndon
Triple: [Ellen Lewis Herndon, familyName, Herndon]
Generated description
Herndon is a surname of English origin borne by various notable individuals, including figures in American political and social history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Herndon
Target entity description: Herndon is a surname of English origin borne by various notable individuals, including figures in American political and social history.
  • A. Herndon
    Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
  • B. Falls Church
    Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
  • C. Centreville
    Centreville is a suburban community in Fairfax County, Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • D. Leesburg
    Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
  • E. Leesburg
    Leesburg is a small city in central Florida known for its historic downtown, numerous lakes, and annual festivals such as Bikefest.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a8b8488190b344df7a65f59684 completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a195d548190bbd8fd42d17d0974 completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085ab05b708190b69aaeb43aca664e completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085b505a0481909e3f54868b732fc8 completed May 16, 2026, 11:56 a.m.
Created at: April 11, 2026, 11:41 p.m.