Triple

T753675
Position Surface form Disambiguated ID Type / Status
Subject Władysław Sikorski E15504 entity
Predicate awardReceived P11 FINISHED
Object Legion of Honour E1340 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: Legion of Honour | Statement: [Władysław Sikorski, awardReceived, Legion of Honour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legion of Honour
Context triple: [Władysław Sikorski, awardReceived, Legion of Honour]
  • A. Légion d'honneur chosen
    The Légion d'honneur is France’s highest order of merit, awarded for outstanding military or civil achievements.
  • B. Grand Croix de la Légion d'honneur
    The Grand Croix de la Légion d'honneur is the highest and most prestigious rank of France’s national order of merit, the Légion d'honneur.
  • C. Chevalier de la Légion d'honneur
    The Chevalier de la Légion d'honneur is the knight rank of France’s highest order of merit, awarded for distinguished military or civil achievements.
  • D. Ordre national du Mérite
    The Ordre national du Mérite is a French national order of merit that honors distinguished civil or military service to the French nation.
  • E. Ordre des Arts et des Lettres
    Ordre des Arts et des Lettres is a French order of merit that honors individuals who have made significant contributions to the arts and literature.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64ecadc8190a82e25444e7abba6 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e426adc8190b7fa65aeacf8737f completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.