Triple

T15549601
Position Surface form Disambiguated ID Type / Status
Subject Lauren Baker E370706 entity
Predicate spouse P13 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: [Lauren Baker, spouse, Charlie Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Baker
Context triple: [Lauren Baker, spouse, 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. Jimmy Hogarth
    Jimmy Hogarth is a British record producer and songwriter known for his work with prominent artists across pop, rock, and soul music.
  • C. Iain Farrington
    Iain Farrington is a British pianist, organist, composer, and arranger known for his versatile work across classical and contemporary music, including high-profile national events.
  • D. Michael Bentine
    Michael Bentine was a British comedian, actor, and founding member of The Goon Show, known for his inventive and often surreal humor in radio, television, and film.
  • E. Charles Baker
    Charles Baker is an American actor best known for his role as Skinny Pete in the television series Breaking Bad and its sequel film El Camino: A Breaking Bad Movie.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455dfbcc8190a93e90c59b2d3045 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.