Triple

T5349406
Position Surface form Disambiguated ID Type / Status
Subject The Bottom of the Bottle E124137 entity
Predicate castMember P1668 FINISHED
Object Jack Carson E119260 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: Jack Carson | Statement: [The Bottom of the Bottle, castMember, Jack Carson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Carson
Context triple: [The Bottom of the Bottle, castMember, Jack Carson]
  • A. Jack Carson chosen
    Jack Carson was a Canadian-born American character actor known for his comedic and supporting roles in classic Hollywood films of the 1940s and 1950s.
  • B. Ed Wynn
    Ed Wynn was an American comedian and character actor known for his distinctive high-pitched voice and whimsical performances in early radio, film, and television.
  • C. Danny Kaye
    Danny Kaye was an American actor, comedian, singer, and dancer renowned for his energetic performances in films and on stage during the mid-20th century.
  • D. L. Guy Wilky
    L. Guy Wilky was a pioneering American cinematographer best known as the founder of the American Society of Cinematographers.
  • E. Walter Matthau
    Walter Matthau was an American actor renowned for his gruff charm and comedic roles in films such as "The Odd Couple" and "The Bad News Bears."
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860ea7088190ad7be14132927d17 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a9153d48190ae9263dc9073271c completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 2:01 p.m.