Triple

T3147839
Position Surface form Disambiguated ID Type / Status
Subject Vivendi Universal Entertainment E65804 entity
Predicate divisionOf P6848 FINISHED
Object Vivendi E132009 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: Vivendi | Statement: [Vivendi Universal Entertainment, divisionOf, Vivendi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivendi
Context triple: [Vivendi Universal Entertainment, divisionOf, Vivendi]
  • A. Vivendi chosen
    Vivendi is a French multinational media and entertainment conglomerate known for its interests in music, television, film, publishing, and communications.
  • B. Vivendi Universal Entertainment
    Vivendi Universal Entertainment was the media and entertainment division of the French conglomerate Vivendi, encompassing film, television, and theme park assets that later became part of NBCUniversal.
  • C. Vinci SA
    Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
  • D. TF1 Group
    TF1 Group is a major French media conglomerate best known for operating France’s leading television channel TF1 and various other broadcasting and digital media assets.
  • E. Viacom
    Viacom is a major American media conglomerate known for its extensive portfolio of television networks, film production, and entertainment brands.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59a54188190a2e020fd4004d734 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261f805b0819089bf8a94c331faf1 completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:05 p.m.