Triple

T1251373
Position Surface form Disambiguated ID Type / Status
Subject Deion Branch E26882 entity
Predicate familyName P18 FINISHED
Object Branch
Branch is a surname most notably associated with former NFL wide receiver and Super Bowl MVP Deion Branch.
E144020 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 | Statement: [Deion Branch, familyName, Branch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Branch
Context triple: [Deion Branch, familyName, Branch]
  • A. B Branch
    The B Branch is a light rail service of Boston’s MBTA Green Line that runs along Commonwealth Avenue, primarily serving Boston University and the Allston–Brighton neighborhoods.
  • B. D Branch
    D Branch is a light rail service of Boston’s MBTA Green Line that runs primarily on a former commuter rail right-of-way between downtown Boston and Newton.
  • C. E Branch
    The E Branch is a light rail service of Boston's MBTA Green Line that runs between Heath Street and Lechmere, serving the Longwood Medical Area and other neighborhoods along Huntington Avenue.
  • D. C Branch
    The C Branch is a light rail service of Boston's MBTA Green Line that runs along Beacon Street between downtown Boston and the Cleveland Circle area of Brighton.
  • E. Base
    Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
  • 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
Triple: [Deion Branch, familyName, Branch]
Generated description
Branch is a surname most notably associated with former NFL wide receiver and Super Bowl MVP Deion Branch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Branch
Target entity description: Branch is a surname most notably associated with former NFL wide receiver and Super Bowl MVP Deion Branch.
  • A. B Branch
    The B Branch is a light rail service of Boston’s MBTA Green Line that runs along Commonwealth Avenue, primarily serving Boston University and the Allston–Brighton neighborhoods.
  • B. D Branch
    D Branch is a light rail service of Boston’s MBTA Green Line that runs primarily on a former commuter rail right-of-way between downtown Boston and Newton.
  • C. E Branch
    The E Branch is a light rail service of Boston's MBTA Green Line that runs between Heath Street and Lechmere, serving the Longwood Medical Area and other neighborhoods along Huntington Avenue.
  • D. C Branch
    The C Branch is a light rail service of Boston's MBTA Green Line that runs along Beacon Street between downtown Boston and the Cleveland Circle area of Brighton.
  • E. Base
    Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c66bf881908f4b63548341178e completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac943de3f0819085dff5ef12f01766 completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac95c05ab081909db602d7bea73bf4 completed March 7, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:47 p.m.