Triple

T8042330
Position Surface form Disambiguated ID Type / Status
Subject Leonora Carrington E187468 entity
Predicate familyName P18 FINISHED
Object Carrington E245567 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: Carrington | Statement: [Leonora Carrington, familyName, Carrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrington
Context triple: [Leonora Carrington, familyName, Carrington]
  • A. Carrington
    Carrington is a village in Greater Manchester, England, known for its industrial estates and proximity to the Manchester Ship Canal.
  • B. Carrington chosen
    Carrington is a surname of English origin borne by various notable individuals across politics, the military, the arts, and other fields.
  • C. Carrington
    Carrington is a small village and civil parish in Midlothian, Scotland, known for its rural character and historic church.
  • D. Carson
    Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
  • E. Carson
    Carson is a suburban city in Los Angeles County, California, known for its diverse residential communities and proximity to major freeways and ports.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f49dcfc81909ac7c93e19ad05c2 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cdecc88190beac3976e7c47114 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:23 p.m.