Triple

T4342879
Position Surface form Disambiguated ID Type / Status
Subject Micheline Calmy-Rey E97826 entity
Predicate hasSurname P18 FINISHED
Object Calmy-Rey E97826 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: Calmy-Rey | Statement: [Micheline Calmy-Rey, hasSurname, Calmy-Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calmy-Rey
Context triple: [Micheline Calmy-Rey, hasSurname, Calmy-Rey]
  • A. Calmy-Rey chosen
    Calmy-Rey is the surname of Micheline Calmy-Rey, a prominent Swiss politician and former President of the Swiss Confederation.
  • B. Renya
    Renya Mutaguchi was a Japanese general best known for commanding the ill-fated Imphal campaign in Burma during World War II.
  • C. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • D. Jodoigne
    Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
  • E. Kassis
    Kassis is a family name of likely Levantine, particularly Palestinian or broader Arab, origin.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35188e71c8190a3e82fa8d959de94 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4f6643081909a2ad9a7d057ea2a completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:14 p.m.