Triple

T260227
Position Surface form Disambiguated ID Type / Status
Subject Paul Revere E5524 entity
Predicate familyName P18 FINISHED
Object Revere
Revere is the surname most famously associated with Paul Revere, the American silversmith and patriot known for his midnight ride during the American Revolution.
E8138 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: Revere | Statement: [Paul Revere, familyName, Revere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Revere
Context triple: [Paul Revere, familyName, Revere]
  • A. Revere, Massachusetts
    Revere, Massachusetts is a coastal city just north of Boston known for Revere Beach, the oldest public beach in the United States.
  • B. Boston Common
    Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
  • C. Dorchester
    Dorchester is one of the earliest English settlements in New England, now a historic neighborhood of Boston, Massachusetts.
  • D. Mattapan
    Mattapan is a residential neighborhood in Boston, Massachusetts, known for its diverse community and location in the city's southern section.
  • E. Peabody
    Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
  • 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: Revere
Triple: [Paul Revere, familyName, Revere]
Generated description
Revere is the surname most famously associated with Paul Revere, the American silversmith and patriot known for his midnight ride during the American Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Revere
Target entity description: Revere is the surname most famously associated with Paul Revere, the American silversmith and patriot known for his midnight ride during the American Revolution.
  • A. Revere, Massachusetts chosen
    Revere, Massachusetts is a coastal city just north of Boston known for Revere Beach, the oldest public beach in the United States.
  • B. Boston Common
    Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
  • C. Dorchester
    Dorchester is one of the earliest English settlements in New England, now a historic neighborhood of Boston, Massachusetts.
  • D. Mattapan
    Mattapan is a residential neighborhood in Boston, Massachusetts, known for its diverse community and location in the city's southern section.
  • E. Peabody
    Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
  • F. None of above.

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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d72dad4819092c9502e6e4edc44 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ac6ef352f081909bd59b3cfb6c33e5 completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6fd219dc8190a64dedf45383c8fa completed March 7, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69ac703361e8819090a4789599bc8e36 completed March 7, 2026, 6:36 p.m.
Created at: Feb. 28, 2026, 2:55 a.m.