Triple

T5166501
Position Surface form Disambiguated ID Type / Status
Subject The Big Operator E116572 entity
Predicate hasCastMember P2308 FINISHED
Object Maila Nurmi E3126 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: Maila Nurmi | Statement: [The Big Operator, hasCastMember, Maila Nurmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maila Nurmi
Context triple: [The Big Operator, hasCastMember, Maila Nurmi]
  • A. Maila Nurmi chosen
    Maila Nurmi was a Finnish-American actress and television personality best known for creating and portraying the iconic 1950s horror hostess character Vampira.
  • B. Arvo Ylppö
    Arvo Ylppö was a pioneering Finnish pediatrician credited with dramatically reducing infant mortality in Finland and shaping modern child healthcare in the country.
  • C. Aino Kallio
    Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
  • D. Lasse Virén
    Lasse Virén is a Finnish long-distance runner renowned for winning double gold in the 5,000 and 10,000 meters at both the 1972 and 1976 Olympic Games.
  • E. Riikka Purra
    Riikka Purra is a Finnish politician from the Finns Party who has served as Finland’s Minister of Finance and is known for her hardline stance on immigration and economic policy.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792c5ea88190b6aa0e519c744155 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed93b85188190927d448e09a46425 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.