Triple

T1561778
Position Surface form Disambiguated ID Type / Status
Subject Kimberly S. Budd E33341 entity
Predicate appointedBy P257 FINISHED
Object Charlie Baker E65431 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: Charlie Baker | Statement: [Kimberly S. Budd, appointedBy, Charlie Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Baker
Context triple: [Kimberly S. Budd, appointedBy, Charlie Baker]
  • A. Charlie Baker chosen
    Charlie Baker is an American politician who served as the Republican governor of Massachusetts from 2015 to 2023 and was known for his moderate, bipartisan approach to governance.
  • B. Henry Baker
    Henry Baker was an 18th-century English naturalist and microscopist known for his contributions to the study of microscopic organisms and for his role in popularizing science.
  • C. Christopher Blake
    Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
  • D. Christopher Birt
    Christopher Birt is an actor best known for his role in the popular 1992 romantic thriller film "The Bodyguard."
  • E. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088710a881909a1226e4b54311b8 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad37151ad48190a8c25899b488c68b completed March 8, 2026, 8:45 a.m.
Created at: March 4, 2026, 7:27 p.m.