Triple

T21398904
Position Surface form Disambiguated ID Type / Status
Subject Song of Scheherazade E527858 entity
Predicate hasCastMember P2308 FINISHED
Object Jack Mower 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: Jack Mower | Statement: [Song of Scheherazade, hasCastMember, Jack Mower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Mower
Context triple: [Song of Scheherazade, hasCastMember, Jack Mower]
  • A. Jack Mower chosen
    Jack Mower was an American film actor and prolific bit player who appeared in hundreds of movies from the silent era through the mid-20th century.
  • B. Sam Wrench
    Sam Wrench is a British film and concert director known for helming high-profile music documentaries and live performance films for major artists.
  • C. Jim-Bob
    Jim-Bob is a fictional character from the television series "The Waltons," known as the youngest Walton son with a passion for cars and mechanics.
  • D. Jack Hupp
    Jack Hupp was the husband of American character actress Marie Windsor, known primarily in relation to her life and career.
  • E. Bill Mechanic
    Bill Mechanic is an American film producer and former Fox Filmed Entertainment chairman known for overseeing major studio hits and producing high-profile projects, including the 82nd Academy Awards ceremony.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cf3e808190847ad66d2e65f9f2 completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:14 p.m.