Triple

T19331992
Position Surface form Disambiguated ID Type / Status
Subject Cranbrook School, Kent E483518 entity
Predicate hasNotableAlumni P51 FINISHED
Object Orlando Bloom 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: Orlando Bloom | Statement: [Cranbrook School, Kent, hasNotableAlumni, Orlando Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando Bloom
Context triple: [Cranbrook School, Kent, hasNotableAlumni, Orlando Bloom]
  • A. Orlando Bloom chosen
    Orlando Bloom is an English actor best known for his role as the elf Legolas in the blockbuster The Lord of the Rings and Pirates of the Caribbean film franchises.
  • B. Neville Bamber
    Neville Bamber was the husband of renowned British psychotherapist and human rights activist Helen Bamber.
  • C. Alan Radcliffe
    Alan Radcliffe is best known as the father of British actor Daniel Radcliffe, who played the title role in the Harry Potter film series.
  • D. Mark Firth
    Mark Firth was a prominent 19th-century industrialist and philanthropist from Sheffield, England, known for his major contributions to education and civic life in the city.
  • E. Ben Barnes
    Ben Barnes is an English actor best known for his roles in films like "The Chronicles of Narnia" series and "Dorian Gray," as well as TV shows such as "Westworld" and "Shadow and Bone."
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e616422fa08190bf4bde4312ec7cf3 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.