Triple

T16420454
Position Surface form Disambiguated ID Type / Status
Subject Everhard Jabach E398801 entity
Predicate givenName P17 FINISHED
Object Everhard E398801 NE FINISHED

How this triple was built (2 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: [Everhard Jabach, givenName, Everhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everhard
Context triple: [Everhard Jabach, givenName, Everhard]
  • A. Everhard chosen
    Everhard is a masculine given name and surname of Germanic origin, related to Eberhard and meaning "brave" or "strong boar."
  • B. 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.”
  • C. Marthinus
    Marthinus is a masculine given name of Afrikaans and Dutch origin, historically borne by several notable South African figures.
  • D. Hazelius
    Hazelius is a Swedish surname most notably borne by Artur Hazelius, the educator and folklorist who founded Stockholm’s Nordic Museum and Skansen open-air museum.
  • E. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f5c1bc8190a679f35bd6c0bc97 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.