Triple

T693127
Position Surface form Disambiguated ID Type / Status
Subject Alicia Boole Stott E13839 entity
Predicate familyName P18 FINISHED
Object Boole E2512 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: Boole | Statement: [Alicia Boole Stott, familyName, Boole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boole
Context triple: [Alicia Boole Stott, familyName, Boole]
  • A. George Boole chosen
    George Boole was a 19th-century English mathematician and logician whose development of Boolean algebra laid the foundations for modern symbolic logic and digital computer circuits.
  • B. Mary Everest Boole
    Mary Everest Boole was a British mathematician and educator known for her innovative, child-centered methods of teaching mathematics and for popularizing mathematical ideas through accessible writings.
  • C. Booth
    Booth is a common English surname historically associated with notable figures in theater, politics, and American history.
  • D. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • E. Russell
    Russell is a common English surname most famously associated with legendary Boston Celtics basketball player and civil rights activist Bill Russell.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0b1e1d08190bdd42f57be5c2a6b completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a637514c9081909938d0801f071fea completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.