Triple

T17038828
Position Surface form Disambiguated ID Type / Status
Subject Bernard Kouchner E413388 entity
Predicate employer P7 FINISHED
Object Médecins Sans Frontières E90208 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: Médecins Sans Frontières | Statement: [Bernard Kouchner, employer, Médecins Sans Frontières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Médecins Sans Frontières
Context triple: [Bernard Kouchner, employer, Médecins Sans Frontières]
  • A. Médecins Sans Frontières chosen
    Médecins Sans Frontières is an international humanitarian medical organization that provides emergency care in crisis zones and epidemics worldwide.
  • B. Médecins du Monde
    Médecins du Monde is an international humanitarian medical organization that provides healthcare and advocates for vulnerable and crisis-affected populations worldwide.
  • C. International Committee of the Red Cross
    The International Committee of the Red Cross is a neutral, independent humanitarian organization that protects and assists victims of armed conflict and promotes international humanitarian law worldwide.
  • D. International Federation of Red Cross and Red Crescent Societies
    The International Federation of Red Cross and Red Crescent Societies is a global humanitarian organization that coordinates and supports national Red Cross and Red Crescent societies in disaster response, health services, and community resilience efforts.
  • E. Red Cross
    Red Cross is a small town located in Stanly County, North Carolina, United States.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f45f84819092cfb27cc33da026 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139f17a5481908896c1c6ff326c2f completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:33 a.m.