Triple

T16022272
Position Surface form Disambiguated ID Type / Status
Subject J. P. Harrington E388630 entity
Predicate familyName P18 FINISHED
Object Harrington
Harrington is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, science, and the arts.
 E1189790 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: Harrington | Statement: [J. P. Harrington, familyName, Harrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harrington
Context triple: [J. P. Harrington, familyName, Harrington]
  • A. Harrington
    Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
  • B. Hannan
    Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
  • C. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • D. Herron
    Herron is the maiden surname of Helen Herron Taft, the First Lady of the United States from 1909 to 1913 and wife of President William Howard Taft.
  • E. Fairley
    Fairley is a surname and given name, often considered a variant spelling of Farley, that appears in English-speaking countries.
  • 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: Harrington
Triple: [J. P. Harrington, familyName, Harrington]
Generated description
Harrington is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harrington
Target entity description: Harrington is a surname of English and Irish origin borne by numerous notable individuals across fields such as politics, science, and the arts.
  • A. Harrington
    Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
  • B. Hannan
    Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
  • C. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • D. Herron
    Herron is the maiden surname of Helen Herron Taft, the First Lady of the United States from 1909 to 1913 and wife of President William Howard Taft.
  • E. Fairley
    Fairley is a surname and given name, often considered a variant spelling of Farley, that appears in English-speaking countries.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18323fc0881908bab7126d9ccf67d completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2f7c4c8190b1290ac28aad8cd0 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd065cb948190b0ad7e89a12ce535 completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd1a52de08190a7b283af83be1f42 completed May 10, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:55 a.m.