Triple

T11076109
Position Surface form Disambiguated ID Type / Status
Subject John Mortimer E261869 entity
Predicate familyName P18 FINISHED
Object Mortimer E425816 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: Mortimer | Statement: [John Mortimer, familyName, Mortimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mortimer
Context triple: [John Mortimer, familyName, 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. Jeremy Mortimer
    Jeremy Mortimer is a British radio drama producer and director, known for his work with BBC Radio.
  • E. Nevill
    Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994fcbc081908ff8f7321c0c5892 completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8cc77988190aad54f56dbd0f8cf completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:26 p.m.