Triple

T18676515
Position Surface form Disambiguated ID Type / Status
Subject The Good Fairy E456615 entity
Predicate stars P1956 FINISHED
Object Herbert Marshall 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: Herbert Marshall | Statement: [The Good Fairy, stars, Herbert Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Marshall
Context triple: [The Good Fairy, stars, Herbert Marshall]
  • A. Herbert Marshall chosen
    Herbert Marshall was a distinguished English stage and film actor known for his suave, gentlemanly screen presence in classic Hollywood cinema of the 1930s and 1940s.
  • B. Leo Genn
    Leo Genn was a British actor and barrister known for his distinguished, authoritative screen presence in mid-20th-century films.
  • C. Alfred Leslie
    Alfred Leslie is an American painter and filmmaker associated with the New York School, known for his abstract expressionist works and his co-direction of the Beat Generation film "Pull My Daisy."
  • D. Arthur Coburn
    Arthur Coburn is a film editor best known for his work on major Hollywood productions, including the action-comedy classic "Beverly Hills Cop."
  • E. Arthur Coburn
    Arthur Coburn is a film editor best known for his work on the 1994 Jim Carrey comedy "The Mask."
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b5a52c81908a71ac86544fb6aa completed April 19, 2026, 10:27 p.m.
Created at: April 10, 2026, 11:48 a.m.