Triple

T15145342
Position Surface form Disambiguated ID Type / Status
Subject MuCEM E361790 entity
Predicate coArchitect P6475 FINISHED
Object Roland Carta E361799 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: Roland Carta | Statement: [MuCEM, coArchitect, Roland Carta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland Carta
Context triple: [MuCEM, coArchitect, Roland Carta]
  • A. Roland Carta chosen
    Roland Carta is a French architect known for co-designing Marseille’s Museum of European and Mediterranean Civilisations (MUCEM).
  • B. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • C. Clovis Cassan
    Clovis Cassan is a French local politician who serves as the mayor of the suburban commune of Les Ulis, near Paris.
  • D. Olivier Kuntzel
    Olivier Kuntzel is a French visual artist and designer best known as one half of the creative duo Kuntzel+Deygas, recognized for their work in illustration, animation, and graphic design for major brands and films.
  • E. Gilles Taurand
    Gilles Taurand is a French screenwriter known for his work on numerous acclaimed films, including the historical drama "Farewell, My Queen."
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff02e648190bd10f04a374da227 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.