Triple

T11189513
Position Surface form Disambiguated ID Type / Status
Subject Sierra Entertainment E264758 entity
Predicate acquiredBy P347 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: [Sierra Entertainment, acquiredBy, Vivendi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivendi
Context triple: [Sierra Entertainment, acquiredBy, 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. ED&F Man
    ED&F Man is a historic British commodities trading and brokerage firm best known for its global sugar, coffee, and agricultural products business.
  • E. 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.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8af18e4819091811bca657c9cb0 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483df3c74819090fc6ef26f785539 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.