Triple

T7325699
Position Surface form Disambiguated ID Type / Status
Subject Irma E168868 entity
Predicate relatedTo P37 FINISHED
Object Irmina
Irmina is a feminine given name of Germanic origin, historically borne by several medieval saints and nobles.
 E656533 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: Irmina | Statement: [Irma, relatedTo, Irmina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irmina
Context triple: [Irma, relatedTo, Irmina]
  • A. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • B. Yoldia
    Yoldia is a genus of marine bivalve mollusks known for their elongated shells and burrowing lifestyle in cold and temperate seas.
  • C. Taninges
    Taninges is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • D. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • E. Gunthamund
    Gunthamund was a late 5th-century king of the Vandals and Alans in North Africa, known for his relatively moderate rule and efforts to stabilize the Vandal Kingdom after periods of internal strife.
  • 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: Irmina
Triple: [Irma, relatedTo, Irmina]
Generated description
Irmina is a feminine given name of Germanic origin, historically borne by several medieval saints and nobles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irmina
Target entity description: Irmina is a feminine given name of Germanic origin, historically borne by several medieval saints and nobles.
  • A. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • B. Yoldia
    Yoldia is a genus of marine bivalve mollusks known for their elongated shells and burrowing lifestyle in cold and temperate seas.
  • C. Taninges
    Taninges is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • D. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • E. Gunthamund
    Gunthamund was a late 5th-century king of the Vandals and Alans in North Africa, known for his relatively moderate rule and efforts to stabilize the Vandal Kingdom after periods of internal strife.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a612c08190b7a3fefa811bbcec completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0e3e7481908e6cedbd3f0077ca completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7efa4f5148190842f30988cbea94c completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f0092bac819080ded1863f99290a completed March 28, 2026, 3:13 p.m.
Created at: March 27, 2026, 3:03 p.m.