Triple

T7699953
Position Surface form Disambiguated ID Type / Status
Subject Collège Royal de Besançon E174464 entity
Predicate hasAlumni P51 FINISHED
Object Louis Pasteur E29652 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: Louis Pasteur | Statement: [Collège Royal de Besançon, hasAlumni, Louis Pasteur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Pasteur
Context triple: [Collège Royal de Besançon, hasAlumni, Louis Pasteur]
  • A. Louis Pasteur chosen
    Louis Pasteur was a pioneering French chemist and microbiologist whose work on germ theory, vaccination, and pasteurization revolutionized medicine and public health.
  • B. Jean-Baptiste Pasteur
    Jean-Baptiste Pasteur was one of the children of the renowned French chemist and microbiologist Louis Pasteur.
  • C. Camille Pasteur
    Camille Pasteur was one of the children of the renowned French chemist and microbiologist Louis Pasteur.
  • D. Alexandre Yersin
    Alexandre Yersin was a Swiss-French physician and bacteriologist best known for identifying the plague bacillus (Yersinia pestis) and contributing significantly to infectious disease research in the late 19th century.
  • E. Émile Roux
    Émile Roux was a French physician, bacteriologist, and pioneer of immunology who played a key role in developing vaccines and antitoxins, notably for diphtheria.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7026ba7b48190a18f1c1cbbf1b944 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9116b86cc8190997077243f99cc7d completed March 29, 2026, 11:47 a.m.
Created at: March 27, 2026, 4:03 p.m.