Triple

T373761
Position Surface form Disambiguated ID Type / Status
Subject Bernhard Riemann E8325 entity
Predicate givenName P17 FINISHED
Object Georg
Georg is the given first name of the renowned German mathematician Bernhard Riemann.
 E56084 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: Georg | Statement: [Bernhard Riemann, givenName, Georg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Georg
Context triple: [Bernhard Riemann, givenName, Georg]
  • A. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • B. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • C. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Ruprecht
    Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
  • 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: Georg
Triple: [Bernhard Riemann, givenName, Georg]
Generated description
Georg is the given first name of the renowned German mathematician Bernhard Riemann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Georg
Target entity description: Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • A. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • B. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • C. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Ruprecht
    Ruprecht is a German given name, cognate with Robert, traditionally borne by various historical figures and saints in German-speaking regions.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec13b9b48190b294d998c6720132 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4429d10d88190ac5407bf4e539d4f completed March 1, 2026, 1:43 p.m.
NEDg Description generation batch_69a4436e93ac8190bbeb9b54fb4297ee completed March 1, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69a443c9240881909e98ff53f150489c completed March 1, 2026, 1:48 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.