Triple

T467975
Position Surface form Disambiguated ID Type / Status
Subject Gabriel E8490 entity
Predicate hasDiminutive P456 FINISHED
Object 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.
 E59452 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: Gabi | Statement: [Gabriel, hasDiminutive, Gabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gabi
Context triple: [Gabriel, hasDiminutive, Gabi]
  • A. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • B. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • C. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • D. Alicia
    Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
  • E. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • 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: Gabi
Triple: [Gabriel, hasDiminutive, Gabi]
Generated description
Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gabi
Target entity description: Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
  • A. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • B. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • C. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • D. Alicia
    Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
  • E. Rebeca
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • 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_69a467fd7cc48190b00982c4f1c41eaf completed March 1, 2026, 4:23 p.m.
NEDg Description generation batch_69a4688a2cbc8190a2110fcd32b63f19 completed March 1, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69a468dfc120819098e9f66c8193a20f completed March 1, 2026, 4:27 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.