Triple

T9967348
Position Surface form Disambiguated ID Type / Status
Subject Hirsz Wonsal E195716 entity
Predicate sibling P363 FINISHED
Object Sam Warner E219512 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: Sam Warner | Statement: [Hirsz Wonsal, sibling, Sam Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Warner
Context triple: [Hirsz Wonsal, sibling, 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. 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.
  • D. 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.
  • E. Rex Warner
    Rex Warner was a British classicist, novelist, and translator known for his politically charged fiction and influential translations of Greek literature.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71f9d7c8190ac02c53052c1c6ad completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c002cc8190becc9730b2c01782 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:47 p.m.