Triple

T1582066
Position Surface form Disambiguated ID Type / Status
Subject Anne Revere E33786 entity
Predicate familyName P18 FINISHED
Object Revere
Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
 E249381 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: [Anne Revere, familyName, Revere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Revere
Context triple: [Anne 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. Charlestown
    Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
  • C. Charlestown
    Charlestown is the main town and administrative center of the Caribbean island of Nevis, known for its colonial architecture and historic hot springs.
  • D. Boston Common
    Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
  • E. Boylston
    Boylston is an MBTA Green Line subway station located near Boston Common in downtown Boston, Massachusetts.
  • 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: [Anne Revere, familyName, Revere]
Generated description
Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Revere
Target entity description: Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
  • 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. Charlestown
    Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
  • C. Charlestown
    Charlestown is the main town and administrative center of the Caribbean island of Nevis, known for its colonial architecture and historic hot springs.
  • D. Boston Common
    Boston Common is a historic central public park in downtown Boston and the oldest city park in the United States.
  • E. Boylston
    Boylston is an MBTA Green Line subway station located near Boston Common in downtown Boston, Massachusetts.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908ef80a48190bd5a8e51c65e5588 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae719b71488190ad3de9f58d0d46a3 completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae72590df081909a17a239e1814a0d completed March 9, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae72a694a8819080ec462c0a9c38ac completed March 9, 2026, 7:11 a.m.
Created at: March 4, 2026, 7:27 p.m.