Triple

T17144930
Position Surface form Disambiguated ID Type / Status
Subject Monty Python Live at the Hollywood Bowl E416064 entity
Predicate producer P490 FINISHED
Object John Goldstone E357147 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: John Goldstone | Statement: [Monty Python Live at the Hollywood Bowl, producer, John Goldstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Goldstone
Context triple: [Monty Python Live at the Hollywood Bowl, producer, John Goldstone]
  • A. John Goldstone chosen
    John Goldstone is a British film and television producer best known for his long association with the Monty Python comedy team.
  • B. Paul Wattson
    Paul Wattson was an American Episcopal then Catholic priest best known for his pioneering work in promoting ecumenism and Christian unity in the early 20th century.
  • C. Russell Livingstone
    Russell Livingstone is a film editor known for his work on the drama movie "Where the Day Takes You."
  • D. Richard Healey
    Richard Healey is a philosopher of physics known for his influential work on the interpretation of quantum mechanics and the nature of scientific theories.
  • E. Andy Starke
    Andy Starke is a British film producer known for his work on distinctive independent and genre films, including projects with the production company Rook Films.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d8ca8c81909bba0cd6d60a4776 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415718c88190834fedae7b01ac69 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.