Triple

T11133664
Position Surface form Disambiguated ID Type / Status
Subject Horace Harmon Lurton E263352 entity
Predicate middleName P143 FINISHED
Object 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.
 E907889 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: [Horace Harmon Lurton, middleName, Harmon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harmon
Context triple: [Horace Harmon Lurton, middleName, 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. Haro
    Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
  • D. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • E. Haroldson
    Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
  • 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: [Horace Harmon Lurton, middleName, Harmon]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harmon
Target entity description: 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.
  • 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. Haro
    Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
  • D. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • E. Haroldson
    Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441f00d7c8190a8fe8e0c1169e6b0 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.