Triple

T17038829
Position Surface form Disambiguated ID Type / Status
Subject Bernard Kouchner E413388 entity
Predicate employer P7 FINISHED
Object Médecins du Monde E1249429 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 du Monde | Statement: [Bernard Kouchner, employer, Médecins du Monde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Médecins du Monde
Context triple: [Bernard Kouchner, employer, Médecins du Monde]
  • A. Médecins du Monde chosen
    Médecins du Monde is an international humanitarian medical organization that provides healthcare and advocates for vulnerable and crisis-affected populations worldwide.
  • B. Médecins Sans Frontières
    Médecins Sans Frontières is an international humanitarian medical organization that provides emergency care in crisis zones and epidemics worldwide.
  • C. Caritas Internationalis
    Caritas Internationalis is a global confederation of Catholic charitable organizations dedicated to humanitarian aid, social justice, and development work in over 200 countries and territories.
  • D. Handicap International
    Handicap International is an international non-governmental organization that works to support people with disabilities and vulnerable populations in situations of poverty, exclusion, conflict, and disaster.
  • E. Union of Medical Care and Relief Organizations
    The Union of Medical Care and Relief Organizations is a humanitarian medical NGO that coordinates and supports healthcare services and emergency relief for civilians affected by the Syrian conflict and other crises.
  • 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_6a01413cc6f08190ae83a0c98fb96b90 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:33 a.m.