Triple

T8035903
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Pryce E187105 entity
Predicate notableWork P4 FINISHED
Object Carrington E315173 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: [Jonathan Pryce, notableWork, Carrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrington
Context triple: [Jonathan Pryce, notableWork, Carrington]
  • A. Carrington
    Carrington is a surname of English origin borne by various notable individuals across politics, the military, the arts, and other fields.
  • B. Carrington chosen
    Carrington is a village in Greater Manchester, England, known for its industrial estates and proximity to the Manchester Ship Canal.
  • 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 a given name most famously associated with American novelist Carson McCullers, known for her works exploring loneliness and the human condition.
  • E. Carson
    Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56f493908190b68e791cdbe725fa completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:22 p.m.