Triple

T1051094
Position Surface form Disambiguated ID Type / Status
Subject Gustavo Bou E22699 entity
Predicate familyName P18 FINISHED
Object Bou
Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
E120852 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: Bou | Statement: [Gustavo Bou, familyName, Bou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bou
Context triple: [Gustavo Bou, familyName, Bou]
  • A. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • B. Bun
    Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
  • C. Bille
    The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
  • D. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • E. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • 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: Bou
Triple: [Gustavo Bou, familyName, Bou]
Generated description
Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bou
Target entity description: Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
  • A. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • B. Bun
    Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
  • C. Bille
    The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
  • D. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • E. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b40d50819091cb37a2236e82ee completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bcd3a4481908f7d9f13e3697fa9 completed March 7, 2026, 2:53 p.m.
NEDg Description generation batch_69ac3c43baec819086ab5fce7f5b1137 completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3c9cc1ec819087df1f4c4efc5646 completed March 7, 2026, 2:56 p.m.
Created at: March 1, 2026, 7:42 p.m.