Triple

T3479768
Position Surface form Disambiguated ID Type / Status
Subject Einhard E73461 entity
Predicate alternateName P39 FINISHED
Object Einhart
Einhart is an alternate spelling of Einhard, the Frankish scholar and courtier best known for writing the biography of Charlemagne.
 E360638 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: Einhart | Statement: [Einhard, alternateName, Einhart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Einhart
Context triple: [Einhard, alternateName, Einhart]
  • A. Korina
    Korina is the surname of Irina Korina, a contemporary Russian artist known for her installations and sculptural works.
  • B. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • C. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • D. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • E. Lea
    Lea is a given name used across various cultures, often as a variant of Leah or Léa.
  • 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: Einhart
Triple: [Einhard, alternateName, Einhart]
Generated description
Einhart is an alternate spelling of Einhard, the Frankish scholar and courtier best known for writing the biography of Charlemagne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Einhart
Target entity description: Einhart is an alternate spelling of Einhard, the Frankish scholar and courtier best known for writing the biography of Charlemagne.
  • A. Korina
    Korina is the surname of Irina Korina, a contemporary Russian artist known for her installations and sculptural works.
  • B. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • C. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • D. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • E. Lea
    Lea is a given name used across various cultures, often as a variant of Leah or Léa.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb7461708190898002fbd1191f34 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681b30b48190918d2821a8383229 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368b597bc8190a51aba91164a8db8 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3696c41808190a30cb55b698da47b completed March 13, 2026, 1:33 a.m.
Created at: March 8, 2026, 3:17 p.m.