Triple

T17282803
Position Surface form Disambiguated ID Type / Status
Subject BB&T E419574 entity
Predicate originalName P65 FINISHED
Object Branch and Hadley
Branch and Hadley was the original banking firm that later evolved into BB&T, a major American financial services company.
 E1260245 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: Branch and Hadley | Statement: [BB&T, originalName, Branch and Hadley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Branch and Hadley
Context triple: [BB&T, originalName, Branch and Hadley]
  • A. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • B. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • C. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • D. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • E. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • 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: Branch and Hadley
Triple: [BB&T, originalName, Branch and Hadley]
Generated description
Branch and Hadley was the original banking firm that later evolved into BB&T, a major American financial services company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Branch and Hadley
Target entity description: Branch and Hadley was the original banking firm that later evolved into BB&T, a major American financial services company.
  • A. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • B. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • C. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332b19f481908acfa88b2f57c5dc completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179535ae08190ac0137d0f8741919 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a0179e161808190b4d865e6e281489c completed May 11, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a017aaf88a48190a85b9a3d7ff30b97 completed May 11, 2026, 6:43 a.m.
Created at: April 10, 2026, 5:40 a.m.