Triple

T1309177
Position Surface form Disambiguated ID Type / Status
Subject Marie E27948 entity
Predicate hasTypicalDiminutive P456 FINISHED
Object Rie
Rie is a common diminutive or nickname form of the given name Marie, used in various European languages.
E148879 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: Rie | Statement: [Marie, hasTypicalDiminutive, Rie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rie
Context triple: [Marie, hasTypicalDiminutive, Rie]
  • A. Rui
    Rui is a common Portuguese given name typically used for males.
  • B. Miraitowa
    Miraitowa is the futuristic, blue-and-white checkered character created as the official mascot of the Tokyo 2020 Summer Olympics, symbolizing tradition, innovation, and a hopeful future.
  • C. 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.
  • D. Hana
    Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
  • E. Rano Aroi
    Rano Aroi is a volcanic crater and small freshwater lake located on Easter Island, known for its high-altitude bogs and unique ecological features.
  • 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: Rie
Triple: [Marie, hasTypicalDiminutive, Rie]
Generated description
Rie is a common diminutive or nickname form of the given name Marie, used in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rie
Target entity description: Rie is a common diminutive or nickname form of the given name Marie, used in various European languages.
  • A. Rui
    Rui is a common Portuguese given name typically used for males.
  • B. Miraitowa
    Miraitowa is the futuristic, blue-and-white checkered character created as the official mascot of the Tokyo 2020 Summer Olympics, symbolizing tradition, innovation, and a hopeful future.
  • C. 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.
  • D. Hana
    Hana is a small, remote town on the eastern coast of Maui, Hawaii, known for its lush landscapes, waterfalls, and the scenic Road to Hana.
  • E. Rano Aroi
    Rano Aroi is a volcanic crater and small freshwater lake located on Easter Island, known for its high-altitude bogs and unique ecological features.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48d25608190b069fb4d0d460aa6 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb30b45708190aaf8c977fef2500c completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb389ab248190b67eb802ed1ac01f completed March 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69acb423e2948190b3927d2f041b6215 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.