Triple

T4262359
Position Surface form Disambiguated ID Type / Status
Subject Mortimer Adler E96131 entity
Predicate givenName P17 FINISHED
Object Mortimer
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.
 E425816 NE FINISHED

How this triple was built (4 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: [Mortimer Adler, givenName, Mortimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mortimer
Context triple: [Mortimer Adler, givenName, 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. Fitzwalter
    Fitzwalter is an English noble family name historically associated with medieval barons and landholders.
  • C. Nevill
    Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
  • D. Crispin Bonham-Carter
    Crispin Bonham-Carter is a British actor and theatre director best known for playing Mr. Bingley in the 1995 BBC adaptation of "Pride and Prejudice."
  • E. Giles
    Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mortimer
Triple: [Mortimer Adler, givenName, Mortimer]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mortimer
Target entity description: 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.
  • 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. Fitzwalter
    Fitzwalter is an English noble family name historically associated with medieval barons and landholders.
  • C. Nevill
    Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
  • D. Crispin Bonham-Carter
    Crispin Bonham-Carter is a British actor and theatre director best known for playing Mr. Bingley in the 1995 BBC adaptation of "Pride and Prejudice."
  • E. Giles
    Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
  • F. None of above. chosen

Provenance (5 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f82b2688190bf4c581e13a9c4b9 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78ffbf881909d59faae665abd36 completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5b89fe2b08190960a3deaceb75c85 completed March 14, 2026, 7:36 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8ddaa9c8190bc7dc46593cbb8cd completed March 14, 2026, 7:37 p.m.
Created at: March 12, 2026, 11:06 p.m.