Triple

T21743766
Position Surface form Disambiguated ID Type / Status
Subject Kim Warner E536731 entity
Predicate hasChild P369 FINISHED
Object Sam Warner 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: Sam Warner | Statement: [Kim Warner, hasChild, Sam Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Warner
Context triple: [Kim Warner, hasChild, Sam Warner]
  • A. Sam Warner
    Sam Warner is a fictional character from the American television sitcom "Yes, Dear," which centers on the comedic challenges of family life and parenting.
  • B. Sam Warner chosen
    Sam Warner was a co-founder and pioneering executive of Warner Bros. who helped usher in the era of sound films in Hollywood.
  • C. Ty Warner
    Ty Warner is an American billionaire toy manufacturer and real estate investor best known as the creator of Beanie Babies.
  • D. Lewis Warner
    Lewis Warner is a member of the Warner family, known primarily as a son of early film industry pioneer Harry Warner, co-founder of Warner Bros.
  • E. Frank Warner
    Frank Warner was an American folk song collector and singer known for preserving and popularizing traditional Appalachian and Southern U.S. ballads and songs.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.