Triple

T761405
Position Surface form Disambiguated ID Type / Status
Subject Kurt Warner E16077 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: [Kurt Warner, familyName, Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warner
Context triple: [Kurt 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 Sogefilms
    Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
  • C. Warner Communications
    Warner Communications was a major American media and entertainment conglomerate that became a core component of the later Time Warner corporation.
  • D. Warner Bros. Pictures
    Warner Bros. Pictures is a major American film production and distribution studio known for releasing numerous blockbuster movies across a wide range of genres.
  • E. Warner Bros. Discovery
    Warner Bros. Discovery is a major global media and entertainment conglomerate formed through the merger of WarnerMedia and Discovery, Inc., encompassing film, television, streaming, and news assets.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a682e7d081909c9cd7839a49fb0b completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf4d769c81909eba6cefb241d417 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:37 p.m.