Triple

T21821995
Position Surface form Disambiguated ID Type / Status
Subject Easton Stadium E538748 entity
Predicate namedAfter P63 FINISHED
Object Easton
Easton is a sporting goods brand best known for manufacturing baseball and softball equipment, including bats, helmets, and protective gear.
 E1504093 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: Easton | Statement: [Easton Stadium, namedAfter, Easton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Easton
Context triple: [Easton Stadium, namedAfter, Easton]
  • A. Easton
    Easton is a Scottish surname most prominently associated with Grammy-winning pop singer Sheena Easton.
  • B. Easton
    Easton is a suburban town in southeastern Massachusetts known for its historic architecture, residential character, and proximity to the Greater Boston area.
  • C. Easton
    Easton is a village on the Isle of Portland in Dorset, England, known for its historic stone buildings and coastal setting.
  • D. Easton
    Easton is an inner-city district of Bristol, England, known for its diverse community, vibrant street art, and strong cultural and social activism.
  • E. Easton
    Easton is a masculine given name of English origin that is also used as a surname and place name.
  • 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: Easton
Triple: [Easton Stadium, namedAfter, Easton]
Generated description
Easton is a sporting goods brand best known for manufacturing baseball and softball equipment, including bats, helmets, and protective gear.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Easton
Target entity description: Easton is a sporting goods brand best known for manufacturing baseball and softball equipment, including bats, helmets, and protective gear.
  • A. Easton
    Easton is a masculine given name of English origin that is also used as a surname and place name.
  • B. Easton
    Easton is a suburban town in southeastern Massachusetts known for its historic architecture, residential character, and proximity to the Greater Boston area.
  • C. Easton
    Easton is an inner-city district of Bristol, England, known for its diverse community, vibrant street art, and strong cultural and social activism.
  • D. Easton
    Easton is a small, affluent residential town in Fairfield County, southwestern Connecticut, known for its rural character, reservoirs, and extensive open space.
  • E. Easton
    Easton is a village on the Isle of Portland in Dorset, England, known for its historic stone buildings and coastal setting.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912e432481909045d00a61daa767 completed April 28, 2026, 10:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45e300e48190bf242b2929a5445b completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a46c771348190aa1fa8b3b8fcac3f completed May 17, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a47bf44c881908504b2537649adf6 completed May 17, 2026, 10:57 p.m.
Created at: April 16, 2026, 6:54 p.m.