Triple

T144151
Position Surface form Disambiguated ID Type / Status
Subject Johan E2916 entity
Predicate relatedName P3889 FINISHED
Object Johann
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
E27352 NE FINISHED

How this triple was built (5 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: Johann | Statement: [Johan, relatedName, Johann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johann
Context triple: [Johan, relatedName, Johann]
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • D. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • E. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • 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: Johann
Triple: [Johan, relatedName, Johann]
Generated description
Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Johann
Target entity description: Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • C. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • D. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • E. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedName
Context triple: [Johan, relatedName, Johann]
  • A. relatedTo
    Indicates a general, non-specific relationship or association exists between two entities.
  • B. isRelatedName chosen
    Indicates that one name is connected to another through a variant, derivative, or otherwise non-identical but related naming relationship.
  • C. isAssociatedWith
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • D. notableRelative
    Indicates that an entity has a relative who is notable or well-known, specifying that familial relationship.
  • E. relatedPlace
    Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
  • F. None of above.

Provenance (6 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257e935bc8190a03e54a10e9ba6f7 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e3bf8948190a30af36f4c21eded completed Feb. 28, 2026, 7:13 p.m.
NEDg Description generation batch_69a33ef11c548190a866b0a4847e4b16 completed Feb. 28, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69a33f41fb3c8190acfa951fde08d574 completed Feb. 28, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69a25656a4fc81908a87678ac3d28f93 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.