Triple

T6489039
Position Surface form Disambiguated ID Type / Status
Subject Easy Street E147986 entity
Predicate hasCastMember P2308 FINISHED
Object Leo White E103723 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: Leo White | Statement: [Easy Street, hasCastMember, Leo White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo White
Context triple: [Easy Street, hasCastMember, Leo White]
  • A. Leo White chosen
    Leo White was a British-born American character actor and director best known for his work in silent films, including frequent collaborations with Charlie Chaplin.
  • B. Bibb Falk
    Bibb Falk was an American baseball player and longtime University of Texas coach known for leading the Longhorns to multiple national championships and having the school's baseball stadium named in his honor.
  • C. Gil Doud
    Gil Doud was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly war and action dramas.
  • D. Hans Conried
    Hans Conried was an American character actor and voice actor best known for his comedic and often villainous roles in mid-20th-century film, radio, television, and animation.
  • E. M. Emmet Walsh
    M. Emmet Walsh is an American character actor known for his prolific film and television career, including memorable roles in movies like "Blade Runner," "Blood Simple," and "Raising Arizona."
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a97fff88190b6f993c14df62649 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdc835081909772f3a3aaee538f completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:52 p.m.