Triple

T2892501
Position Surface form Disambiguated ID Type / Status
Subject Chet Hanks E63859 entity
Predicate givenName P17 FINISHED
Object Chester
Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
E307566 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: [Chet Hanks, givenName, Chester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester
Context triple: [Chet Hanks, 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. 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.
  • D. Colchester
    Colchester is a historic town in Essex, England, often cited as Britain’s oldest recorded town and known for its Roman heritage and medieval landmarks.
  • E. Ripon
    Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
  • 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: [Chet Hanks, givenName, Chester]
Generated description
Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chester
Target entity description: Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
  • 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. 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.
  • D. Colchester
    Colchester is a historic town in Essex, England, often cited as Britain’s oldest recorded town and known for its Roman heritage and medieval landmarks.
  • E. Ripon
    Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe060f49c8190bc804614a141c738 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317e15248190bade0f0fd930581a completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b034b304f8819096eda16e314912b4 completed March 10, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69b03c60a5988190b015a1cf05068845 completed March 10, 2026, 3:44 p.m.
Created at: March 6, 2026, 10:07 p.m.