Triple

T7026032
Position Surface form Disambiguated ID Type / Status
Subject Chester A. Arthur E162948 entity
Predicate givenName P17 FINISHED
Object Chester
Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
E636786 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: Chester | Statement: [Chester A. Arthur, givenName, Chester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester
Context triple: [Chester A. Arthur, givenName, Chester]
  • A. Chester
    Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
  • B. Chester
    Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
  • C. Chester
    Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
  • D. Town of Chester
    The Town of Chester is a small Adirondack community in upstate New York known for its lakes, forests, and outdoor recreation.
  • E. City of Chester
    The City of Chester is a historic walled city in northwest England renowned for its well-preserved Roman and medieval architecture, including distinctive black-and-white timbered buildings and ancient city walls.
  • 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: Chester
Triple: [Chester A. Arthur, givenName, Chester]
Generated description
Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chester
Target entity description: Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
  • A. Chester
    Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
  • B. Chester
    Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
  • C. Chester
    Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
  • D. Town of Chester
    The Town of Chester is a small Adirondack community in upstate New York known for its lakes, forests, and outdoor recreation.
  • E. City of Chester
    The City of Chester is a historic walled city in northwest England renowned for its well-preserved Roman and medieval architecture, including distinctive black-and-white timbered buildings and ancient city walls.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fd6ab48190865271e16e8ff669 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7757c87788190b09ced669b5c4d83 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c7777be0d08190b6be22c72d2da12e completed March 28, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c77851ace48190a2a4899181f3d14a completed March 28, 2026, 6:42 a.m.
Created at: March 27, 2026, 2:35 p.m.