Triple

T11571662
Position Surface form Disambiguated ID Type / Status
Subject Sharon Kristin Harmon E274400 entity
Predicate familyName P18 FINISHED
Object Harmon
Harmon is a surname of English origin borne by various notable individuals in fields such as entertainment, sports, and public life.
 E449258 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: Harmon | Statement: [Sharon Kristin Harmon, familyName, Harmon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harmon
Context triple: [Sharon Kristin Harmon, familyName, Harmon]
  • A. Harmon
    Harmon is the maiden surname of Ellen G. White, a co-founder and prophetic figure of the Seventh-day Adventist Church.
  • B. Harmon
    Harmon was the original name of the railway station now known as Croton–Harmon, a major commuter and intercity rail hub in New York's Hudson Valley.
  • C. Harmon
    Harmon is the middle name of Horace Harmon Lurton, an American jurist who served as an Associate Justice of the U.S. Supreme Court in the early 20th century.
  • D. Haro
    Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
  • E. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • 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: Harmon
Triple: [Sharon Kristin Harmon, familyName, Harmon]
Generated description
Harmon is a surname of English origin borne by various notable individuals in fields such as entertainment, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harmon
Target entity description: Harmon is a surname of English origin borne by various notable individuals in fields such as entertainment, sports, and public life.
  • A. Harmon chosen
    Harmon is the maiden surname of Ellen G. White, a co-founder and prophetic figure of the Seventh-day Adventist Church.
  • B. Harmon
    Harmon was the original name of the railway station now known as Croton–Harmon, a major commuter and intercity rail hub in New York's Hudson Valley.
  • C. Harmon
    Harmon is the middle name of Horace Harmon Lurton, an American jurist who served as an Associate Justice of the U.S. Supreme Court in the early 20th century.
  • D. Haro
    Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
  • E. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • F. None of above.

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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8eface48190a2ed3275191b01ea completed April 21, 2026, 3:03 a.m.
NEDg Description generation batch_69e6ef9631e48190aef47bba9ad611e8 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f94ac2d0819098a3024eaab908b5 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:38 p.m.