Triple

T21267377
Position Surface form Disambiguated ID Type / Status
Subject John Mortimer E524161 entity
Predicate dynasty P1547 FINISHED
Object Mortimer 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: Mortimer | Statement: [John Mortimer, dynasty, Mortimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mortimer
Context triple: [John Mortimer, dynasty, Mortimer]
  • A. Mortimer
    Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
  • B. Mortimer chosen
    Mortimer is a masculine given name of Old French origin, historically associated with English nobility and later borne by various notable figures in philosophy, literature, and the arts.
  • C. Fitzwalter
    Fitzwalter is an English noble family name historically associated with medieval barons and landholders.
  • D. Clifford Mortimer
    Clifford Mortimer was a British limnologist and freshwater scientist known for his influential research on the physics and dynamics of lakes.
  • E. Jeremy Mortimer
    Jeremy Mortimer is a British radio drama producer and director, known for his work with BBC Radio.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735ee38cc81909b4e7c5996bb64f9 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.