Triple

T10323229
Position Surface form Disambiguated ID Type / Status
Subject Suzie Gold E242691 entity
Predicate producer P490 FINISHED
Object Jonathan Cavendish E48028 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: Jonathan Cavendish | Statement: [Suzie Gold, producer, Jonathan Cavendish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Cavendish
Context triple: [Suzie Gold, producer, Jonathan Cavendish]
  • A. Jonathan Cavendish chosen
    Jonathan Cavendish is a British film producer best known for co-founding The Imaginarium Studios and producing acclaimed films such as "Bridget Jones’s Diary" and "Breathe."
  • B. Philip Quast
    Philip Quast is an acclaimed Australian actor and baritone singer best known for his award-winning performances in major stage musicals, particularly in the West End.
  • C. Joseph Fry
    Joseph Fry was a British merchant and banker best known as the husband of prison reformer Elizabeth Fry and a member of the prominent Fry Quaker family.
  • D. Anthony David
    Anthony David is a historian and writer known for co-authoring political and historical works, including memoirs related to the Israeli-Palestinian conflict.
  • E. Frank Skinner
    Frank Skinner was an American film composer best known for his prolific work scoring Hollywood movies during the mid-20th century, particularly for Universal Pictures.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da2053481908fe5ed097b480cdd completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.