Triple

T8522002
Position Surface form Disambiguated ID Type / Status
Subject Millard F. Harmon E201714 entity
Predicate familyName P18 FINISHED
Object Harmon
Harmon is a surname of English origin borne by various notable individuals across fields such as the military, entertainment, and sports.
 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: [Millard F. Harmon, familyName, Harmon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harmon
Context triple: [Millard F. Harmon, familyName, Harmon]
  • A. 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.
  • B. Harmon
    Harmon is the maiden surname of Ellen G. White, a co-founder and prophetic figure of the Seventh-day Adventist Church.
  • C. Haro
    Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
  • D. Haroldson
    Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
  • E. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • 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: [Millard F. Harmon, familyName, Harmon]
Generated description
Harmon is a surname of English origin borne by various notable individuals across fields such as the military, entertainment, and sports.
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 across fields such as the military, entertainment, and sports.
  • 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. Haro
    Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
  • D. Haroldson
    Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
  • E. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62a490481908ee0ad4ba9a94682 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e8399f481909992aedf0d918cbc completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffcf7488190b94cae18be14e8ff completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce507766448190830dd3efc8a79a74 completed April 2, 2026, 11:18 a.m.
Created at: March 30, 2026, 6:16 p.m.