Triple

T20581413
Position Surface form Disambiguated ID Type / Status
Subject Mardi Gras (1958 film) E505662 entity
Predicate starring P1507 FINISHED
Object Gary Crosby 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: Gary Crosby | Statement: [Mardi Gras (1958 film), starring, Gary Crosby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Crosby
Context triple: [Mardi Gras (1958 film), starring, Gary Crosby]
  • A. Gary Crosby chosen
    Gary Crosby was an American singer and actor, known both for his work in film, television, and music and for being the son of entertainer Bing Crosby.
  • B. Howard Crosby
    Howard Crosby was a 19th-century American Presbyterian minister, educator, and chancellor of New York University known for his religious leadership and scholarly work.
  • C. Dennis Crosby
    Dennis Crosby was an American singer and actor best known as one of Bing Crosby’s sons who performed with his brothers as part of the Crosby family entertainment legacy.
  • D. Charlie Frye
    Charlie Frye is a former American football quarterback who played in the NFL, most notably for the Cleveland Browns.
  • E. Don Crosby
    Don Crosby was an Australian character actor known for his extensive work in film, television, and theatre during the mid-20th century.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90e98a88190b5cb077973f97e68 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:40 a.m.