Triple

T6534475
Position Surface form Disambiguated ID Type / Status
Subject Barton College E152317 entity
Predicate city P40 FINISHED
Object Wilson
Wilson is a small city in eastern North Carolina known historically for its tobacco and textile industries and now for its diversified economy and educational institutions.
 E608195 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: Wilson | Statement: [Barton College, city, Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilson
Context triple: [Barton College, city, Wilson]
  • A. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • B. Wilson
    "Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
  • C. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • D. Williams
    Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • E. Williams
    Williams is a small historic town in northern Arizona known as a gateway to the Grand Canyon and for its preserved Route 66 charm.
  • 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: Wilson
Triple: [Barton College, city, Wilson]
Generated description
Wilson is a small city in eastern North Carolina known historically for its tobacco and textile industries and now for its diversified economy and educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilson
Target entity description: Wilson is a small city in eastern North Carolina known historically for its tobacco and textile industries and now for its diversified economy and educational institutions.
  • A. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • B. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • C. Wilson
    "Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
  • D. Williams
    Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • E. Williams
    Williams is a small historic town in northern Arizona known as a gateway to the Grand Canyon and for its preserved Route 66 charm.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adc05da88190b402085954cec8e0 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e41908f0819096e6e432509afe7d completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e8584bd08190bb45747aca6e9327 completed March 27, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69c6e8dcc9bc819099ba39f67677195b completed March 27, 2026, 8:30 p.m.
Created at: March 27, 2026, 1:46 p.m.