Triple

T13961458
Position Surface form Disambiguated ID Type / Status
Subject Matthew Freud E335802 entity
Predicate name P16 FINISHED
Object Matthew Freud E335802 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: Matthew Freud | Statement: [Matthew Freud, name, Matthew Freud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Freud
Context triple: [Matthew Freud, name, Matthew Freud]
  • A. Matthew Freud chosen
    Matthew Freud is a British public relations executive and founder of the London-based agency Freud Communications.
  • B. William Freind
    William Freind was an 18th-century English clergyman who served as Dean of Canterbury and was known for his connections to prominent ecclesiastical and academic figures of his time.
  • C. Stephen Breuer
    Stephen Breuer is a scholar and author known for his work on political theory and modern European intellectual history.
  • D. John Altman
    John Altman is a British composer, arranger, and conductor known for his work on numerous film and television scores, as well as collaborations with prominent popular music artists.
  • E. Frank Morrison
    Frank Morrison was a prominent American labor leader who served as a key executive of the American Federation of Labor in the early 20th century.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7c73d48190b8e02971b5a8ed5f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb64df57c8190bc402c5ec268eaac completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:18 p.m.