Triple

T13744977
Position Surface form Disambiguated ID Type / Status
Subject Plies E330188 entity
Predicate familyName P18 FINISHED
Object Washington
Washington is a common English surname borne by numerous notable figures in American history, politics, sports, and entertainment.
E42829 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: Washington | Statement: [Plies, familyName, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington
Context triple: [Plies, familyName, Washington]
  • A. Washington
    Washington is a U.S. state in the Pacific Northwest known for its diverse landscapes, technology industry centered around Seattle, and significant cultural and economic influence on the West Coast.
  • B. Washington
    Washington is a small town in Dutchess County, New York, known for its rural character and the village of Millbrook within its borders.
  • C. Washington
    Washington is a small rural town in Berkshire County in western Massachusetts, known for its forested landscape and quiet, sparsely populated character.
  • D. Washington
    Washington is the given first name of Uruguayan former professional footballer and coach Sebastián "Loco" Abreu.
  • E. Washington
    Washington is the capital city of the United States, known as the center of the federal government and home to numerous national monuments and institutions.
  • 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: Washington
Triple: [Plies, familyName, Washington]
Generated description
Washington is a common English surname borne by numerous notable figures in American history, politics, sports, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Washington
Target entity description: Washington is a common English surname borne by numerous notable figures in American history, politics, sports, and entertainment.
  • A. Washington chosen
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • B. Washington
    Washington is a prominent U.S. state and the name of the nation’s capital city, both ultimately deriving their name from George Washington, the first president of the United States.
  • C. Washington
    Washington is the capital city of the United States, known as the center of the federal government and home to numerous national monuments and institutions.
  • D. Washington
    Washington is a town in the City of Sunderland in Tyne and Wear, England, historically part of County Durham and often noted for its links to the family of George Washington.
  • E. Washington
    Washington is a U.S. state in the Pacific Northwest known for its diverse landscapes, technology industry centered around Seattle, and significant cultural and economic influence on the West Coast.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0211ba5481909fbd5b447e3d5a02 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8501890819081152bc2e9c06836 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a994cd688190a077a4854c5c71c9 completed May 3, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_69f7aa32b8c8819088bbc9e478c21c06 completed May 3, 2026, 8:04 p.m.
Created at: April 9, 2026, 10:08 p.m.