Triple

T16882869
Position Surface form Disambiguated ID Type / Status
Subject Uriel Frisch E421463 entity
Predicate employer P7 FINISHED
Object CNRS E54266 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: CNRS | Statement: [Uriel Frisch, employer, CNRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNRS
Context triple: [Uriel Frisch, employer, CNRS]
  • A. Centre National de la Recherche Scientifique chosen
    The Centre National de la Recherche Scientifique (CNRS) is France’s largest governmental research organization, renowned for its multidisciplinary scientific research across fields ranging from physics and biology to the humanities.
  • B. Institut national de la recherche scientifique
    Institut national de la recherche scientifique is a graduate-level research university in Quebec, Canada, specializing in advanced scientific and technological research and training.
  • C. Institut universitaire de France
    The Institut universitaire de France is a prestigious French institution that supports and honors leading university scholars for their excellence in research.
  • D. INSERM
    INSERM is France’s national public research institute dedicated to human health and medical research.
  • E. Laboratoire Arago
    Laboratoire Arago is a renowned marine biology and oceanography research station located on the Mediterranean coast in Banyuls-sur-Mer, France.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbdffd8819093f1efd91f6d49dc completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2baece88190ad9821219dff7e27 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.