Triple

T16240978
Position Surface form Disambiguated ID Type / Status
Subject Pierre Vago E394243 entity
Predicate familyName P18 FINISHED
Object Vago
Vago is a surname most notably associated with Pierre Vago, a prominent 20th-century French architect and influential figure in modern architecture.
 E1202297 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: Vago | Statement: [Pierre Vago, familyName, Vago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vago
Context triple: [Pierre Vago, familyName, Vago]
  • A. The Vodi
    The Vodi is a novel by British author John Braine, best known for its darkly psychological exploration of guilt, illness, and alienation in postwar England.
  • B. Vosso
    Vosso is a river in western Norway known for flowing through Voss municipality and contributing to the region’s scenic fjord landscape.
  • C. Vawkavisk
    Vawkavisk is a town in western Belarus known for its long history dating back to medieval times and its role as a regional cultural and economic center.
  • D. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • E. Viddalba
    Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
  • 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: Vago
Triple: [Pierre Vago, familyName, Vago]
Generated description
Vago is a surname most notably associated with Pierre Vago, a prominent 20th-century French architect and influential figure in modern architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vago
Target entity description: Vago is a surname most notably associated with Pierre Vago, a prominent 20th-century French architect and influential figure in modern architecture.
  • A. The Vodi
    The Vodi is a novel by British author John Braine, best known for its darkly psychological exploration of guilt, illness, and alienation in postwar England.
  • B. Vosso
    Vosso is a river in western Norway known for flowing through Voss municipality and contributing to the region’s scenic fjord landscape.
  • C. Vawkavisk
    Vawkavisk is a town in western Belarus known for its long history dating back to medieval times and its role as a regional cultural and economic center.
  • D. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • E. Viddalba
    Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455e1ce08190b97e2ab3e8c6d535 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edd1ed08190aa0211c3b17a918e completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00108fdda88190bf510d04f4cc73f1 completed May 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0011559b748190ad406263889514a4 completed May 10, 2026, 5:02 a.m.
Created at: April 10, 2026, 5:04 a.m.