Triple

T18587966
Position Surface form Disambiguated ID Type / Status
Subject Albert Lamorisse E454285 entity
Predicate educatedAt P5 FINISHED
Object IDHEC NE NERFINISHED

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: IDHEC | Statement: [Albert Lamorisse, educatedAt, IDHEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IDHEC
Context triple: [Albert Lamorisse, educatedAt, IDHEC]
  • A. IDHEC chosen
    IDHEC (Institut des hautes études cinématographiques) was a prestigious French film school in Paris that trained many notable filmmakers and industry professionals.
  • B. INSA Lyon
    INSA Lyon is a leading French grande école and engineering school located near Lyon, renowned for its strong research activity and multidisciplinary engineering programs.
  • C. Technopôle
    Technopôle is a tramway terminus in Rouen, France, serving a technology and business park area.
  • D. Adolphe Merkle Institute
    Adolphe Merkle Institute is a Swiss research center at the University of Fribourg specializing in interdisciplinary nanoscience and materials science.
  • E. INSA Group
    INSA Group is a leading French network of public engineering schools known for its strong emphasis on scientific and technological education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b2f20481908da74447cd08d5bd completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.