Triple

T19264012
Position Surface form Disambiguated ID Type / Status
Subject Ann Messina Bessette E481722 entity
Predicate hasFamilyName P18 FINISHED
Object Bessette NE NERFINISHED

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: Bessette | Statement: [Ann Messina Bessette, hasFamilyName, Bessette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bessette
Context triple: [Ann Messina Bessette, hasFamilyName, Bessette]
  • A. Bessette chosen
    Bessette is a French-origin surname notably associated with Carolyn Bessette-Kennedy, the late wife of John F. Kennedy Jr.
  • B. Lisette Charbonneau
    Lisette Charbonneau was the daughter of Sacagawea and Toussaint Charbonneau, born during or shortly after the Lewis and Clark Expedition era.
  • C. Blanchet
    Blanchet is a French-origin surname borne by various notable individuals in politics, arts, and other fields.
  • D. Bennett Brien
    Bennett Brien is a Native American artist and designer best known for creating the University of North Dakota’s former Fighting Sioux logo.
  • E. Beaudry
    Beaudry is a French-origin surname notably borne by Prudent Beaudry, a 19th-century mayor of Los Angeles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8bce6881908395836960762672 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.