Triple

T639460
Position Surface form Disambiguated ID Type / Status
Subject Jane Wyman E16699 entity
Predicate workedFor P1910 FINISHED
Object Warner Bros. E6093 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 Bros. | Statement: [Jane Wyman, workedFor, Warner Bros.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warner Bros.
Context triple: [Jane Wyman, workedFor, Warner Bros.]
  • A. Warner Bros. Pictures chosen
    Warner Bros. Pictures is a major American film production and distribution studio known for releasing numerous blockbuster movies across a wide range of genres.
  • B. Warner Sogefilms
    Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
  • C. Warner
    Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
  • D. Warner Communications
    Warner Communications was a major American media and entertainment conglomerate that became a core component of the later Time Warner corporation.
  • E. Columbia Pictures
    Columbia Pictures is a historic American film studio that rose to prominence during Hollywood’s Golden Age and became one of the industry’s leading producers and distributors of motion pictures.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f00260081909d1a679182e23d10 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c7074cc88190912969a1ba0a8c6e completed March 4, 2026, 5:45 a.m.
Created at: March 1, 2026, 7:35 p.m.