Triple

T4559053
Position Surface form Disambiguated ID Type / Status
Subject Scenic America E120548 entity
Predicate designer P184 FINISHED
Object Jean Zuber E453183 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: Jean Zuber | Statement: [Scenic America, designer, Jean Zuber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Zuber
Context triple: [Scenic America, designer, Jean Zuber]
  • A. Jean Zuber chosen
    Jean Zuber was a French industrialist best known as the founder of the renowned wallpaper manufacturer Jean Zuber et Cie, famous for its high-quality panoramic scenic wallpapers.
  • B. Catherine Zuber
    Catherine Zuber is a Tony Award–winning costume designer renowned for her work on major Broadway productions and other stage works.
  • C. Michael Kozoll
    Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
  • D. Alex Zülle
    Alex Zülle is a retired Swiss professional road cyclist best known as a two-time Vuelta a España winner and multiple Grand Tour podium finisher in the 1990s.
  • E. Peter Zinner
    Peter Zinner was an Austrian-born American film editor renowned for his work on major Hollywood films, including classics like The Deer Hunter and The Godfather.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5829cc34819086ad2ae58446502e completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3a139f08190a0211d5848ccdfad completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.