Triple

T3935851
Position Surface form Disambiguated ID Type / Status
Subject Eberhard E90908 entity
Predicate hasVariant P455 FINISHED
Object Everhard
Everhard is a masculine given name and surname of Germanic origin, related to Eberhard and meaning "brave" or "strong boar."
 E398801 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: Everhard | Statement: [Eberhard, hasVariant, Everhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Everhard
Context triple: [Eberhard, hasVariant, Everhard]
  • A. Gerhardus
    Gerhardus is a masculine given name of Germanic origin, closely related to names like Gerhard and Gerard, typically meaning “strong with the spear” or “brave with the spear.”
  • B. Hendrik
    Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
  • C. Jacobus
    Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Randolf
    Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
  • 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: Everhard
Triple: [Eberhard, hasVariant, Everhard]
Generated description
Everhard is a masculine given name and surname of Germanic origin, related to Eberhard and meaning "brave" or "strong boar."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Everhard
Target entity description: Everhard is a masculine given name and surname of Germanic origin, related to Eberhard and meaning "brave" or "strong boar."
  • A. Gerhardus
    Gerhardus is a masculine given name of Germanic origin, closely related to names like Gerhard and Gerard, typically meaning “strong with the spear” or “brave with the spear.”
  • B. Hendrik
    Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
  • C. Jacobus
    Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Randolf
    Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcd29148190a98e4549c9ed8888 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288eb3e481909a68531fd37371a4 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b5297a08d08190a0150d71a795c66f completed March 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69b529d7a5a88190aa0728778e8540c5 completed March 14, 2026, 9:26 a.m.
Created at: March 9, 2026, 3:23 p.m.