Triple

T6357608
Position Surface form Disambiguated ID Type / Status
Subject Mathias Vicherat E143030 entity
Predicate employer P7 FINISHED
Object Sciences Po E26673 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: Sciences Po | Statement: [Mathias Vicherat, employer, Sciences Po]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sciences Po
Context triple: [Mathias Vicherat, employer, Sciences Po]
  • A. Sciences Po chosen
    Sciences Po is a prestigious French university renowned for its programs in political science, international relations, and social sciences.
  • B. Université Paris 2 Panthéon-Assas
    Université Paris 2 Panthéon-Assas is a prestigious French public university in Paris renowned for its programs in law, political science, economics, and social sciences.
  • C. École des hautes études en sciences sociales
    École des hautes études en sciences sociales is a prestigious French graduate institution in Paris renowned for advanced research and teaching in the social sciences and humanities.
  • D. Sorbonne University
    Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
  • E. Université Paris 1 Panthéon-Sorbonne
    Université Paris 1 Panthéon-Sorbonne is a leading French public research university in Paris renowned for its programs in law, economics, humanities, and social sciences, and for its historic location in the Latin Quarter.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f5bdd481909cf9db595ddb27df completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eec399f8819096e1db3ff6abd280 completed March 27, 2026, 8:55 p.m.
Created at: March 22, 2026, 4:32 p.m.