Triple

T14144475
Position Surface form Disambiguated ID Type / Status
Subject Clarissa Harlowe Barton E350508 entity
Predicate familyName P18 FINISHED
Object Barton E395218 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: Barton | Statement: [Clarissa Harlowe Barton, familyName, Barton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barton
Context triple: [Clarissa Harlowe Barton, familyName, Barton]
  • A. Barton
    Barton is an inner suburb of Canberra, Australia, known for housing key government departments and diplomatic missions near the shores of Lake Burley Griffin.
  • B. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • C. Barton
    Barton is a small village and civil parish located in the South Cambridgeshire district of Cambridgeshire, England.
  • D. Barton chosen
    Barton is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • E. Barton
    Barton is a district within the City of Salford in Greater Manchester, England, forming part of the Salford and Eccles parliamentary constituency.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61214de081909a5186ff11336f97 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e655908190bf81dcbad1b10292 completed May 7, 2026, 8:36 p.m.
Created at: April 10, 2026, 12:53 a.m.