Triple

T2578606
Position Surface form Disambiguated ID Type / Status
Subject Il piacere E57034 entity
Predicate publisher P29 FINISHED
Object Treves
Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
 E279738 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: Treves | Statement: [Il piacere, publisher, Treves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Treves
Context triple: [Il piacere, publisher, Treves]
  • A. Felicio
    Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
  • B. Henry Haller
    Henry Haller was a Swiss-born American chef best known for serving as White House Executive Chef for multiple U.S. presidents from the Johnson through the Reagan administrations.
  • C. Jules Gilliéron
    Jules Gilliéron was a pioneering Swiss-French linguist and dialectologist best known for his foundational work in Romance linguistics and the creation of the Atlas linguistique de la France.
  • D. Gaspard
    Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
  • E. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • 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: Treves
Triple: [Il piacere, publisher, Treves]
Generated description
Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Treves
Target entity description: Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
  • A. Felicio
    Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
  • B. Henry Haller
    Henry Haller was a Swiss-born American chef best known for serving as White House Executive Chef for multiple U.S. presidents from the Johnson through the Reagan administrations.
  • C. Jules Gilliéron
    Jules Gilliéron was a pioneering Swiss-French linguist and dialectologist best known for his foundational work in Romance linguistics and the creation of the Atlas linguistique de la France.
  • D. Gaspard
    Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
  • E. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a86f9881908df29a7caaf9a7df completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6579bab88190891c23721eaccfc8 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af67843ef481909dfa3d6cb29cef51 completed March 10, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69af67fc75c48190aa04defed7ad2aaf completed March 10, 2026, 12:38 a.m.
Created at: March 6, 2026, 9:49 p.m.