Triple

T9233892
Position Surface form Disambiguated ID Type / Status
Subject Jules Guesde E221886 entity
Predicate familyName P18 FINISHED
Object Bazile
Bazile is the French surname of the 19th–20th century socialist leader and journalist Jules Guesde.
 E787461 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: Bazile | Statement: [Jules Guesde, familyName, Bazile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bazile
Context triple: [Jules Guesde, familyName, Bazile]
  • A. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • B. Länder
    Länder are the individual federal states that make up the Federal Republic of Germany, each with its own government and significant legislative powers.
  • C. Perusia
    Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
  • D. Kuba
    Kuba is a Bantu language spoken by the Kuba people of Central Africa, known for its rich oral traditions and cultural heritage.
  • E. La Russa
    La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
  • 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: Bazile
Triple: [Jules Guesde, familyName, Bazile]
Generated description
Bazile is the French surname of the 19th–20th century socialist leader and journalist Jules Guesde.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bazile
Target entity description: Bazile is the French surname of the 19th–20th century socialist leader and journalist Jules Guesde.
  • A. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • B. Länder
    Länder are the individual federal states that make up the Federal Republic of Germany, each with its own government and significant legislative powers.
  • C. Perusia
    Perusia was an important ancient Etruscan city in central Italy, later known as the Roman colony of Perusia and modern-day Perugia.
  • D. Kuba
    Kuba is a Bantu language spoken by the Kuba people of Central Africa, known for its rich oral traditions and cultural heritage.
  • E. La Russa
    La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1baa3c8190870d1e850ccab1e0 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077c31f588190bae2af98e3b71c38 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d07bc3c5cc8190a35561279ff0f1a2 completed April 4, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d07c725a0c8190bf905461a38ef65e completed April 4, 2026, 2:50 a.m.
Created at: March 30, 2026, 7:29 p.m.