Triple

T22630308
Position Surface form Disambiguated ID Type / Status
Subject Cottrell E558529 entity
Predicate hasNotableBearer P458 FINISHED
Object Frank Cottrell-Boyce 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: Frank Cottrell-Boyce | Statement: [Cottrell, hasNotableBearer, Frank Cottrell-Boyce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Cottrell-Boyce
Context triple: [Cottrell, hasNotableBearer, Frank Cottrell-Boyce]
  • A. Frank Cottrell-Boyce chosen
    Frank Cottrell-Boyce is a British screenwriter and author known for his work on films such as "24 Hour Party People" and "Millions," as well as for writing acclaimed children's books.
  • B. Marcus Sedgwick
    Marcus Sedgwick was a British author best known for his dark, atmospheric young adult novels and award-winning speculative fiction.
  • C. Francesca Simon
    Francesca Simon is a British-American children's author best known for creating the popular "Horrid Henry" series.
  • D. Jacqueline Wilson
    Jacqueline Wilson is a British children's author best known for her realistic and emotionally rich novels such as "Tracy Beaker," which often explore complex family and social issues.
  • E. Kathryn Erskine
    Kathryn Erskine is an American author of acclaimed middle-grade and young adult novels, best known for her emotionally resonant, socially conscious stories that have earned major literary honors.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17008e7648190b243c18067b4efb9 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:02 p.m.