Triple

T10152949
Position Surface form Disambiguated ID Type / Status
Subject Harriet Amanda Lazelle Warner E232693 entity
Predicate familyName P18 FINISHED
Object Warner E18794 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: Warner | Statement: [Harriet Amanda Lazelle Warner, familyName, Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warner
Context triple: [Harriet Amanda Lazelle Warner, familyName, Warner]
  • A. Warner chosen
    Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
  • B. Warner’s
    Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
  • C. Warner Sogefilms
    Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
  • D. Warner Bros. Entertainment
    Warner Bros. Entertainment is a major American film and television studio and media company known for producing blockbuster franchises and owning prominent entertainment brands such as DC Comics.
  • E. Dot Warner
    Dot Warner is a main character from the animated series "Animaniacs," known as the cute, witty, and mischievous youngest of the Warner siblings.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e64b5a40819093f29ec34cb0a763 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.