Triple

T16698272
Position Surface form Disambiguated ID Type / Status
Subject The Well-Groomed Bride E405775 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 Well-Groomed Bride, castMember, Jack Carson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Carson
Context triple: [The Well-Groomed Bride, 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. Phil Kahl
    Phil Kahl was a music industry figure best known as a co-founder of the influential American record label Roulette Records.
  • C. Ed Beaumont
    Ed Beaumont is the sharp-witted political fixer and loyal right-hand man to a corrupt boss in the 1942 film noir "The Glass Key."
  • D. Robert Wells
    Robert Wells was an American songwriter and lyricist best known for co-writing classic popular songs, including holiday standards, often in collaboration with prominent singers like Mel Tormé.
  • E. 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.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d36aa90819090b738c1c94dcb9f completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.