Triple

T19699701
Position Surface form Disambiguated ID Type / Status
Subject The Small World of Sammy Lee E473056 entity
Predicate writer P1360 FINISHED
Object Ken Hughes 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: Ken Hughes | Statement: [The Small World of Sammy Lee, writer, Ken Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Hughes
Context triple: [The Small World of Sammy Lee, writer, Ken Hughes]
  • A. Ken Hughes chosen
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • B. Tony Bill
    Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
  • C. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • D. Paul Hirsch
    Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
  • E. Paul Hirsch
    Paul Hirsch was a German Social Democratic politician who briefly served as Minister President of Prussia during the early Weimar Republic.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b426608190a46abec3652a6ca0 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.