Triple

T9650313
Position Surface form Disambiguated ID Type / Status
Subject Emil Tuomioja E233313 entity
Predicate givenName P17 FINISHED
Object Emil E550792 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: Emil | Statement: [Emil Tuomioja, givenName, Emil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emil
Context triple: [Emil Tuomioja, givenName, Emil]
  • A. Emil
    Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
  • B. Emil
    Emil is a fictional character from Louisa May Alcott's novel "Jo's Boys," where he appears as one of the next generation of Plumfield children whose adult lives and adventures are followed.
  • C. Emil
    Emil is a given name notably borne by Emile Berliner, the German-American inventor best known for developing the gramophone and flat disc record.
  • D. Emil chosen
    Emil is a masculine given name used in various European languages, often associated with Latin and Germanic origins.
  • E. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9badd630819087fd844d7878ec61 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1826780fc81909c418e82bd94c581 completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.