Triple

T9546200
Position Surface form Disambiguated ID Type / Status
Subject Félix Ziem E230293 entity
Predicate familyName P18 FINISHED
Object Ziem
Ziem is the surname of French painter Félix Ziem, known for his 19th-century landscapes and Venetian scenes.
 E805240 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: Ziem | Statement: [Félix Ziem, familyName, Ziem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ziem
Context triple: [Félix Ziem, familyName, Ziem]
  • A. Vidzeme
    Vidzeme is a historical region in northern Latvia known for its rich cultural heritage, forests, and role in the development of Latvian national identity.
  • B. Zieria
    Zieria is a genus of aromatic shrubs and small trees native mainly to Australia, belonging to the citrus family Rutaceae and known for its trifoliate leaves and small, often fragrant flowers.
  • C. Zwedru
    Zwedru is a major town in eastern Liberia known as an administrative and commercial center for the surrounding region.
  • D. Biegun
    Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
  • E. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • 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: Ziem
Triple: [Félix Ziem, familyName, Ziem]
Generated description
Ziem is the surname of French painter Félix Ziem, known for his 19th-century landscapes and Venetian scenes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ziem
Target entity description: Ziem is the surname of French painter Félix Ziem, known for his 19th-century landscapes and Venetian scenes.
  • A. Vidzeme
    Vidzeme is a historical region in northern Latvia known for its rich cultural heritage, forests, and role in the development of Latvian national identity.
  • B. Zieria
    Zieria is a genus of aromatic shrubs and small trees native mainly to Australia, belonging to the citrus family Rutaceae and known for its trifoliate leaves and small, often fragrant flowers.
  • C. Zwedru
    Zwedru is a major town in eastern Liberia known as an administrative and commercial center for the surrounding region.
  • D. Biegun
    Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
  • E. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9902fca081909125660ae6336d3f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c747e608190b2fa470324fff454 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14cfcfc6c8190a39f4db25ffa160e completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14d5dad98819089c49afd3d097c1f completed April 4, 2026, 5:41 p.m.
Created at: March 30, 2026, 8:02 p.m.