Triple

T6074826
Position Surface form Disambiguated ID Type / Status
Subject Johan Fredrik Eckersberg E135373 entity
Predicate givenName P17 FINISHED
Object Johan
Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
 E567797 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: Johan | Statement: [Johan Fredrik Eckersberg, givenName, Johan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johan
Context triple: [Johan Fredrik Eckersberg, givenName, Johan]
  • 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. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • C. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • D. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • E. Johan Evertsen
    Johan Evertsen was a prominent 17th-century Dutch admiral who played a key role in the naval conflicts of the Dutch Republic, including the Anglo-Dutch Wars.
  • 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: Johan
Triple: [Johan Fredrik Eckersberg, givenName, Johan]
Generated description
Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johan
Target entity description: Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • 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. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • C. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • D. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • E. Johan Evertsen
    Johan Evertsen was a prominent 17th-century Dutch admiral who played a key role in the naval conflicts of the Dutch Republic, including the Anglo-Dutch Wars.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125274e1c8190b452fdeeb788a6f2 completed March 23, 2026, 11:33 a.m.
NEDg Description generation batch_69c126b21ef88190bc7ed82f2d71c503 completed March 23, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69c127275bc48190bfe121d59e91c99b completed March 23, 2026, 11:42 a.m.
Created at: March 22, 2026, 4:11 p.m.