Triple

T20355802
Position Surface form Disambiguated ID Type / Status
Subject Italo De Zan E496642 entity
Predicate familyName P18 FINISHED
Object De Zan
De Zan is an Italian surname most notably associated with former professional cyclist Italo De Zan.
E1426709 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: De Zan | Statement: [Italo De Zan, familyName, De Zan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Zan
Context triple: [Italo De Zan, familyName, De Zan]
  • A. Zaar
    Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
  • B. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • C. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • D. Yantzaza
    Yantzaza is a town in southeastern Ecuador that serves as an administrative and commercial center in the Zamora-Chinchipe Province.
  • E. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • 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: De Zan
Triple: [Italo De Zan, familyName, De Zan]
Generated description
De Zan is an Italian surname most notably associated with former professional cyclist Italo De Zan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Zan
Target entity description: De Zan is an Italian surname most notably associated with former professional cyclist Italo De Zan.
  • A. Zaar
    Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
  • B. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • C. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • D. Yantzaza
    Yantzaza is a town in southeastern Ecuador that serves as an administrative and commercial center in the Zamora-Chinchipe Province.
  • E. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67853f10881908ecde94036804a8a completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087081a8d88190a0144632eab72309 completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 completed May 16, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_6a087213a0408190a9b553323d7ced1f completed May 16, 2026, 1:33 p.m.
Created at: April 16, 2026, 11:25 a.m.