Triple

T4183226
Position Surface form Disambiguated ID Type / Status
Subject Bruno E88243 entity
Predicate hasVariant P455 FINISHED
Object Brun
Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
 E419503 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: Brun | Statement: [Bruno, hasVariant, Brun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brun
Context triple: [Bruno, hasVariant, Brun]
  • A. Bron
    Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • B. Brandon
    Brandon is a town in Suffolk, England, known for its location on the Breckland railway line and its surrounding Breckland heathland and forestry.
  • C. Brandon
    Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
  • D. Bern
    Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
  • E. Bor
    Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
  • 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: Brun
Triple: [Bruno, hasVariant, Brun]
Generated description
Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brun
Target entity description: Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
  • A. Bron
    Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • B. Brandon
    Brandon is a town in Suffolk, England, known for its location on the Breckland railway line and its surrounding Breckland heathland and forestry.
  • C. Brandon
    Brandon is a masculine given name of Old English origin meaning "hill covered with broom" or "beacon hill."
  • D. Bern
    Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
  • E. Bor
    Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0307a0b481909c7287402a8c78c4 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589fbcc5881908f245bb377082dcc completed March 14, 2026, 4:16 p.m.
NEDg Description generation batch_69b58b22a1d88190a16e1c1e41291f5a completed March 14, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69b58b8bfb288190a097942b5b8c366e completed March 14, 2026, 4:23 p.m.
Created at: March 9, 2026, 3:45 p.m.