Triple

T3790701
Position Surface form Disambiguated ID Type / Status
Subject Jean-Marie Lehn E89638 entity
Predicate employer P7 FINISHED
Object Collège de France E50209 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: Collège de France | Statement: [Jean-Marie Lehn, employer, Collège de France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collège de France
Context triple: [Jean-Marie Lehn, employer, Collège de France]
  • A. Collège de France chosen
    Collège de France is a prestigious Parisian higher education and research institution renowned for its free, public lectures by leading scholars across a wide range of disciplines.
  • B. La Sorbonne
    La Sorbonne is a historic university building in Paris that has long served as a central symbol of French higher education and intellectual life.
  • C. Panthéon-Sorbonne University
    Panthéon-Sorbonne University is a prestigious Parisian institution renowned for its programs in law, humanities, and social sciences, and its historical roots in the University of Paris.
  • D. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • E. Académie de Paris
    The Académie de Paris is the regional education authority overseeing schools and academic institutions in and around Paris, 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7687c4481908d5e6988e2638b68 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfdeaa224c8190a115d8af390eea71 completed March 22, 2026, 12:20 p.m.
Created at: March 9, 2026, 3:15 p.m.