Triple

T11178974
Position Surface form Disambiguated ID Type / Status
Subject Martti Ahtisaari E264487 entity
Predicate givenName P17 FINISHED
Object Martti E264487 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: Martti | Statement: [Martti Ahtisaari, givenName, Martti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martti
Context triple: [Martti Ahtisaari, givenName, Martti]
  • A. Martti chosen
    Martti is a Finnish given name most notably borne by former President of Finland and Nobel Peace Prize laureate Martti Ahtisaari.
  • B. Matti
    Matti is the pragmatic chauffeur and servant who serves as the foil to the erratic landowner Puntila in Bertolt Brecht’s play "Mr Puntila and His Man Matti."
  • C. Antti
    Antti is a Finnish given name, commonly used as a variant of the name Anton or Anthony.
  • D. Jaakko
    Jaakko is a Finnish given name, equivalent to the English name James.
  • E. Väinö
    Väinö is a Finnish masculine given name historically borne by several notable figures in politics, arts, and sports in Finland.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e899c6288190b39e090fa9cdc883 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4839eeaac8190826007ca126ed491 completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.