Triple

T16097156
Position Surface form Disambiguated ID Type / Status
Subject The Bill Dana Show E390516 entity
Predicate hasCastMember P2308 FINISHED
Object Gary Crosby E118291 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: Gary Crosby | Statement: [The Bill Dana Show, hasCastMember, Gary Crosby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Crosby
Context triple: [The Bill Dana Show, hasCastMember, 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. 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.
  • C. Charlie Frye
    Charlie Frye is a former American football quarterback who played in the NFL, most notably for the Cleveland Browns.
  • D. Bob Crosby
    Bob Crosby was an American jazz singer and bandleader best known for leading the Bob Crosby Orchestra and the Dixieland-style Bobcats in the 1930s and 1940s.
  • E. Jerry Vale
    Jerry Vale was an American traditional pop singer known for his smooth tenor voice and romantic ballads, particularly popular in the 1950s and 1960s.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79a96d08190af69cbb18037f66e completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:59 a.m.