Triple

T6165738
Position Surface form Disambiguated ID Type / Status
Subject Jan Brewer E137553 entity
Predicate familyName P18 FINISHED
Object Brewer
Brewer is a common English occupational surname originally given to people who brewed ale or beer.
 E572462 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: Brewer | Statement: [Jan Brewer, familyName, Brewer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brewer
Context triple: [Jan Brewer, familyName, Brewer]
  • A. Brewer, Maine
    Brewer, Maine is a small city in Penobscot County located across the Penobscot River from Bangor and functioning as part of the Bangor metropolitan area.
  • B. Monaca
    Monaca is a small borough located along the Ohio River in Beaver County, Pennsylvania, known historically for its industrial and riverfront character.
  • C. Redhook
    Redhook is a fiction-focused publishing imprint of Hachette Book Group known for commercial and genre titles.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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: Brewer
Triple: [Jan Brewer, familyName, Brewer]
Generated description
Brewer is a common English occupational surname originally given to people who brewed ale or beer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brewer
Target entity description: Brewer is a common English occupational surname originally given to people who brewed ale or beer.
  • A. Brewer, Maine
    Brewer, Maine is a small city in Penobscot County located across the Penobscot River from Bangor and functioning as part of the Bangor metropolitan area.
  • B. Monaca
    Monaca is a small borough located along the Ohio River in Beaver County, Pennsylvania, known historically for its industrial and riverfront character.
  • C. Redhook
    Redhook is a fiction-focused publishing imprint of Hachette Book Group known for commercial and genre titles.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d6225bc819097707be620681e7b completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141a3ea6c81908847998960c9d0eb completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c143d8090081909ec2759a7025bcfb completed March 23, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_69c1444a09ac8190acfee8a878652d16 completed March 23, 2026, 1:46 p.m.
Created at: March 22, 2026, 4:17 p.m.