Triple

T12823719
Position Surface form Disambiguated ID Type / Status
Subject Corey Brewer E306595 entity
Predicate familyName P18 FINISHED
Object Brewer E572462 NE FINISHED

How this triple was built (2 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: [Corey Brewer, familyName, Brewer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brewer
Context triple: [Corey Brewer, familyName, Brewer]
  • A. Brewer chosen
    Brewer is a common English occupational surname originally given to people who brewed ale or beer.
  • B. Samuel Adams Brewery
    Samuel Adams Brewery is a well-known Boston-based craft brewery and taproom that produces Samuel Adams beers and offers tours and tastings to visitors.
  • C. 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.
  • D. Boston Quackie
    Boston Quackie is a Warner Bros. Looney Tunes cartoon directed by Robert McKimson that parodies detective and crime stories through the antics of Daffy Duck.
  • E. Monaca
    Monaca is a small borough located along the Ohio River in Beaver County, Pennsylvania, known historically for its industrial and riverfront character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96edcc99c8190986cd78fe4714835 completed April 10, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed337248190a007fe18c6379910 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:32 p.m.