Triple

T467976
Position Surface form Disambiguated ID Type / Status
Subject Gabriel E8490 entity
Predicate hasDiminutive P456 FINISHED
Object Gabo
Gabo is the affectionate diminutive nickname commonly used for the renowned Colombian writer Gabriel García Márquez.
 E61165 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: Gabo | Statement: [Gabriel, hasDiminutive, Gabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gabo
Context triple: [Gabriel, hasDiminutive, Gabo]
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • C. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • D. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • E. Pablo
    Pablo is a given name, especially common in Spanish-speaking countries, that corresponds to the English name Paul.
  • 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: Gabo
Triple: [Gabriel, hasDiminutive, Gabo]
Generated description
Gabo is the affectionate diminutive nickname commonly used for the renowned Colombian writer Gabriel García Márquez.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gabo
Target entity description: Gabo is the affectionate diminutive nickname commonly used for the renowned Colombian writer Gabriel García Márquez.
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Gabi
    Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • C. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • D. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • E. Pablo
    Pablo is a given name, especially common in Spanish-speaking countries, that corresponds to the English name Paul.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd9bea081909ee782840f3da12b completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4777ac3748190989ab6a9565d2c8a completed March 1, 2026, 5:29 p.m.
NEDg Description generation batch_69a477e15cd08190a9491a42d8739b83 completed March 1, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_69a4782d92cc81909b41dfcbe4ab3938 completed March 1, 2026, 5:32 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.