Triple

T22496821
Position Surface form Disambiguated ID Type / Status
Subject Matthew E556162 entity
Predicate equivalentNameInLanguage P63334 FINISHED
Object Matthäus (German)
Matthäus is the German form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
 E1540204 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: Matthäus (German) | Statement: [Matthew, equivalentNameInLanguage, Matthäus (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthäus (German)
Context triple: [Matthew, equivalentNameInLanguage, Matthäus (German)]
  • A. Matheus (German)
    Matheus is the German form of the given name Matthew, sharing the same biblical origin and meaning of “gift of God.”
  • B. Matthäus Daniel Pöppelmann
    Matthäus Daniel Pöppelmann was a prominent German Baroque architect best known for his influential work in Dresden during the early 18th century.
  • C. Dietrich
    Dietrich is a masculine German given name historically borne by notable figures such as theologian and anti-Nazi dissident Dietrich Bonhoeffer.
  • D. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • E. Matyáš
    Matyáš is the given name of Jindřich Matyáš Thurn, a notable Bohemian nobleman and military leader of the early 17th century.
  • 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: Matthäus (German)
Triple: [Matthew, equivalentNameInLanguage, Matthäus (German)]
Generated description
Matthäus is the German form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthäus (German)
Target entity description: Matthäus is the German form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
  • A. Matheus (German)
    Matheus is the German form of the given name Matthew, sharing the same biblical origin and meaning of “gift of God.”
  • B. Matthäus Daniel Pöppelmann
    Matthäus Daniel Pöppelmann was a prominent German Baroque architect best known for his influential work in Dresden during the early 18th century.
  • C. Dietrich
    Dietrich is a masculine German given name historically borne by notable figures such as theologian and anti-Nazi dissident Dietrich Bonhoeffer.
  • D. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • E. Matyáš
    Matyáš is the given name of Jindřich Matyáš Thurn, a notable Bohemian nobleman and military leader of the early 17th century.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb2644c819094864bd88bcebcbd completed April 29, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17e204e4819091f8453ce912ce5b completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b188c406c81909f8d4bdd6d7a1819 completed May 18, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0b193a558c81909c8c8c8bd82f7bda completed May 18, 2026, 1:50 p.m.
Created at: April 16, 2026, 8:50 p.m.