Triple

T4358469
Position Surface form Disambiguated ID Type / Status
Subject Bedales School E98607 entity
Predicate notableAlumni P51 FINISHED
Object Sophie Dahl E403784 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: Sophie Dahl | Statement: [Bedales School, notableAlumni, Sophie Dahl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie Dahl
Context triple: [Bedales School, notableAlumni, Sophie Dahl]
  • A. Sophie Dahl chosen
    Sophie Dahl is an English author and former fashion model, known for her novels and cookbooks as well as being the granddaughter of writer Roald Dahl.
  • B. Sophie Cookson
    Sophie Cookson is an English actress best known for her breakout role as Roxy in the action spy film "Kingsman: The Secret Service."
  • C. Lucy Briers
    Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
  • D. Imogen Poots
    Imogen Poots is a British actress known for her versatile performances in films such as "Green Room," "28 Weeks Later," and "Need for Speed."
  • E. Natascha McElhone
    Natascha McElhone is a British actress known for her film roles in the late 1990s and 2000s, including prominent performances in movies like "The Truman Show" and "Ronin," as well as her work in television series such as "Californication."
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c7fa1881908bdc844a7142eb65 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627d762648190a48ffadc2dc2abba completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:16 p.m.