Triple

T1913018
Position Surface form Disambiguated ID Type / Status
Subject Alexander Martin E38151 entity
Predicate precededBy P97 FINISHED
Object Thomas Burke
Thomas Burke was an American politician who served as the third Governor of North Carolina during the early years of the United States.
 E236787 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: Thomas Burke | Statement: [Alexander Martin, precededBy, Thomas Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas Burke
Context triple: [Alexander Martin, precededBy, Thomas Burke]
  • A. Thomas Burke
    Thomas Burke was an American sprinter who became the first Olympic champion in both the 100-meter and 400-meter races at the modern Games.
  • B. James Sansbury
    James Sansbury is a technology entrepreneur best known as a co-founder of the software company Altera.
  • C. Charles Hamilton
    Charles Hamilton is a name shared by several notable individuals, including an 18th-century Scottish-born British politician and a contemporary American rapper and producer.
  • D. John Palmer
    John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
  • E. Thomas Oliver
    Thomas Oliver was a 17th-century Salem resident known primarily as the husband of Bridget Bishop, the first person executed during the Salem witch trials.
  • 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: Thomas Burke
Triple: [Alexander Martin, precededBy, Thomas Burke]
Generated description
Thomas Burke was an American politician who served as the third Governor of North Carolina during the early years of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas Burke
Target entity description: Thomas Burke was an American politician who served as the third Governor of North Carolina during the early years of the United States.
  • A. Thomas Burke
    Thomas Burke was an American sprinter who became the first Olympic champion in both the 100-meter and 400-meter races at the modern Games.
  • B. James Sansbury
    James Sansbury is a technology entrepreneur best known as a co-founder of the software company Altera.
  • C. Charles Hamilton
    Charles Hamilton is a name shared by several notable individuals, including an 18th-century Scottish-born British politician and a contemporary American rapper and producer.
  • D. John Palmer
    John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
  • E. Thomas Oliver
    Thomas Oliver was a 17th-century Salem resident known primarily as the husband of Bridget Bishop, the first person executed during the Salem witch trials.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e26b948190aa194c30755ac5df completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5173b2188190bfb492c73a1bba06 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.