Triple

T4379047
Position Surface form Disambiguated ID Type / Status
Subject Dávid E99081 entity
Predicate isCognateWith P2527 FINISHED
Object David (German given name)
David is a common German masculine given name of Hebrew origin, widely used in German-speaking countries and shared across many European languages.
 E435755 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: David (German given name) | Statement: [Dávid, isCognateWith, David (German given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David (German given name)
Context triple: [Dávid, isCognateWith, David (German given name)]
  • A. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • B. George (given name)
    George is a common masculine given name of Greek origin, widely used in many languages and cultures and historically associated with figures such as Saint George and numerous kings.
  • C. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • D. Georg
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • E. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • 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: David (German given name)
Triple: [Dávid, isCognateWith, David (German given name)]
Generated description
David is a common German masculine given name of Hebrew origin, widely used in German-speaking countries and shared across many European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David (German given name)
Target entity description: David is a common German masculine given name of Hebrew origin, widely used in German-speaking countries and shared across many European languages.
  • A. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • B. George (given name)
    George is a common masculine given name of Greek origin, widely used in many languages and cultures and historically associated with figures such as Saint George and numerous kings.
  • C. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • D. Georg
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • E. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35240092c81908e26ff607d665e7a completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51c87908190a561513ec64a2d72 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e72525248190bfe813f61355c19c completed March 14, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_69b5e78e07388190b40e6d9817c44c9e completed March 14, 2026, 10:56 p.m.
Created at: March 12, 2026, 11:18 p.m.