Triple

T4432158
Position Surface form Disambiguated ID Type / Status
Subject Pat Burrell E95355 entity
Predicate familyName P18 FINISHED
Object Burrell
Burrell is the surname of former Major League Baseball outfielder and two-time World Series champion Pat Burrell.
E442453 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: Burrell | Statement: [Pat Burrell, familyName, Burrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burrell
Context triple: [Pat Burrell, familyName, Burrell]
  • A. Buellton
    Buellton is a small city in California’s Santa Ynez Valley known for its wineries, roadside attractions, and role as a gateway to the Santa Barbara wine country.
  • B. Benhall
    Benhall is a small village and civil parish located in the English county of Suffolk.
  • C. Biggar
    Biggar is a small coastal settlement on Walney Island in Cumbria, England, known for its traditional village character and proximity to the Irish Sea.
  • D. Biggar
    Biggar is a small historic market town in Scotland known for its traditional high street, museums, and annual cultural events.
  • E. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • 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: Burrell
Triple: [Pat Burrell, familyName, Burrell]
Generated description
Burrell is the surname of former Major League Baseball outfielder and two-time World Series champion Pat Burrell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Burrell
Target entity description: Burrell is the surname of former Major League Baseball outfielder and two-time World Series champion Pat Burrell.
  • A. Buellton
    Buellton is a small city in California’s Santa Ynez Valley known for its wineries, roadside attractions, and role as a gateway to the Santa Barbara wine country.
  • B. Benhall
    Benhall is a small village and civil parish located in the English county of Suffolk.
  • C. Biggar
    Biggar is a small coastal settlement on Walney Island in Cumbria, England, known for its traditional village character and proximity to the Irish Sea.
  • D. Biggar
    Biggar is a small historic market town in Scotland known for its traditional high street, museums, and annual cultural events.
  • E. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556cd83881908547aa311c4f17fa completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b628002e208190a68c659abd348040 completed March 15, 2026, 3:31 a.m.
NEDg Description generation batch_69b628ffed1c819097d048712e9aafef completed March 15, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69b6298d1ff88190a58a6fc5992ef864 completed March 15, 2026, 3:37 a.m.
Created at: March 12, 2026, 11:31 p.m.