Triple

T12428966
Position Surface form Disambiguated ID Type / Status
Subject Thomas Leverett E296973 entity
Predicate familyName P18 FINISHED
Object Leverett
Leverett is an English-language surname borne by various notable figures in politics, academia, and public life.
E1344297 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: Leverett | Statement: [Thomas Leverett, familyName, Leverett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leverett
Context triple: [Thomas Leverett, familyName, Leverett]
  • A. Leverett, Massachusetts
    Leverett, Massachusetts is a small rural town in western Massachusetts known for its forests, ponds, and quiet residential character within the Pioneer Valley region.
  • B. Norwell
    Norwell is a suburban town in Plymouth County, Massachusetts, known for its residential character, conservation land, and location along the North River.
  • C. Willimansett
    Willimansett is a residential neighborhood and village within the city of Chicopee in western Massachusetts, located along the Connecticut River.
  • D. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • E. Stoneham
    Stoneham is an English-origin surname borne by various notable individuals, including figures in American sports and politics.
  • 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: Leverett
Triple: [Thomas Leverett, familyName, Leverett]
Generated description
Leverett is an English-language surname borne by various notable figures in politics, academia, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leverett
Target entity description: Leverett is an English-language surname borne by various notable figures in politics, academia, and public life.
  • A. Leverett, Massachusetts
    Leverett, Massachusetts is a small rural town in western Massachusetts known for its forests, ponds, and quiet residential character within the Pioneer Valley region.
  • B. Norwell
    Norwell is a suburban town in Plymouth County, Massachusetts, known for its residential character, conservation land, and location along the North River.
  • C. Willimansett
    Willimansett is a residential neighborhood and village within the city of Chicopee in western Massachusetts, located along the Connecticut River.
  • D. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • E. Stoneham
    Stoneham is an English-origin surname borne by various notable individuals, including figures in American sports and politics.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ddc688190bddb242d67fa6e89 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a055ba649d08190bb093403ebe90d38 completed May 14, 2026, 5:20 a.m.
NEDg Description generation batch_6a055e5bd32881908503c0a6131196b2 completed May 14, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a055f0b0c8881908c2448b0c516653e completed May 14, 2026, 5:35 a.m.
Created at: April 8, 2026, 9:55 p.m.