Triple

T17716533
Position Surface form Disambiguated ID Type / Status
Subject Elmer E442214 entity
Predicate hasVariant P455 FINISHED
Object Elmar
Elmar is a masculine given name, used in various cultures and languages, that is related to or derived from the name Elmer.
E1283576 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: Elmar | Statement: [Elmer, hasVariant, Elmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmar
Context triple: [Elmer, hasVariant, Elmar]
  • A. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • B. Volker
    Volker is a masculine German given name commonly used in German-speaking countries.
  • C. Jörg
    Jörg is a masculine given name of German origin, commonly used in German-speaking countries.
  • D. Ortwin
    Ortwin is the middle name of Carl O. Sauer, a prominent American geographer known for his influential work in cultural and historical geography.
  • E. Dettmar
    Dettmar is a German given name most notably borne by football coach Dettmar Cramer, a key figure in the development of modern soccer tactics.
  • 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: Elmar
Triple: [Elmer, hasVariant, Elmar]
Generated description
Elmar is a masculine given name, used in various cultures and languages, that is related to or derived from the name Elmer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elmar
Target entity description: Elmar is a masculine given name, used in various cultures and languages, that is related to or derived from the name Elmer.
  • A. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • B. Volker
    Volker is a masculine German given name commonly used in German-speaking countries.
  • C. Jörg
    Jörg is a masculine given name of German origin, commonly used in German-speaking countries.
  • D. Ortwin
    Ortwin is the middle name of Carl O. Sauer, a prominent American geographer known for his influential work in cultural and historical geography.
  • E. Dettmar
    Dettmar is a German given name most notably borne by football coach Dettmar Cramer, a key figure in the development of modern soccer tactics.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47480955481908fa0d3d34aaedd48 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02302bd9b08190979ee441035b17bb completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a023192ea9c819096bf6ed8952f21c4 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a02321a9c6c8190a86ebfdcfa32f786 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:06 a.m.