Triple

T1059986
Position Surface form Disambiguated ID Type / Status
Subject Emil E22883 entity
Predicate variantForm P4680 FINISHED
Object Emilis
Emilis is a given name, primarily used in Lithuanian and other Baltic or Eastern European contexts, derived from the name Emil.
 E126365 NE FINISHED

How this triple was built (4 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: Emilis | Statement: [Emil, variantForm, Emilis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emilis
Context triple: [Emil, variantForm, Emilis]
  • 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. Mikelis
    Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
  • C. Andris
    Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emilis
Triple: [Emil, variantForm, Emilis]
Generated description
Emilis is a given name, primarily used in Lithuanian and other Baltic or Eastern European contexts, derived from the name Emil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emilis
Target entity description: Emilis is a given name, primarily used in Lithuanian and other Baltic or Eastern European contexts, derived from the name 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. Mikelis
    Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
  • C. Andris
    Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • F. None of above. chosen

Provenance (5 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f3f98c819096338198d9f30491 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1d82c88190b418e2e2f050b563 completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4e109c3c8190abcbc66aef59c52f completed March 7, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac4e646698819083403336eb07b7ff completed March 7, 2026, 4:12 p.m.
Created at: March 1, 2026, 7:42 p.m.