Triple

T144154
Position Surface form Disambiguated ID Type / Status
Subject Johan E2916 entity
Predicate relatedName P3889 FINISHED
Object Johanus
Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
 E28019 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: Johanus | Statement: [Johan, relatedName, Johanus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johanus
Context triple: [Johan, relatedName, Johanus]
  • 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. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • C. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • 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: Johanus
Triple: [Johan, relatedName, Johanus]
Generated description
Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johanus
Target entity description: Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • 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. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • C. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25bab43608190ba5ebfbee6b5b6e4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a347634d58819096655bcdc1378780 completed Feb. 28, 2026, 7:52 p.m.
NEDg Description generation batch_69a34a03368881908f2022d81d0acc72 completed Feb. 28, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69a34a6c4c8c8190b483c52898e84f55 completed Feb. 28, 2026, 8:05 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.