Triple

T4642507
Position Surface form Disambiguated ID Type / Status
Subject Marigold E101685 entity
Predicate hasDiminutivePotential P456 FINISHED
Object Mari
Mari is a feminine given name, often used as a short form of names like Marigold, Mary, or Maria in various cultures.
 E458791 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: Mari | Statement: [Marigold, hasDiminutivePotential, Mari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mari
Context triple: [Marigold, hasDiminutivePotential, Mari]
  • A. Mari
    Mari is an ancient Mesopotamian city-state on the Euphrates River, renowned for its well-preserved palace complex and thousands of cuneiform tablets that illuminate early Syrian and Mesopotamian history.
  • B. Mari
    Mari is a character in Paulo Coelho's novel "Veronika Decides to Die," portrayed as a fellow patient in the mental institution who struggles with anxiety and societal expectations.
  • C. Mari
    Mari is a Uralic language spoken by the Mari people, primarily in the Mari El Republic of Russia.
  • D. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • E. Marianna
    Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
  • 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: Mari
Triple: [Marigold, hasDiminutivePotential, Mari]
Generated description
Mari is a feminine given name, often used as a short form of names like Marigold, Mary, or Maria in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mari
Target entity description: Mari is a feminine given name, often used as a short form of names like Marigold, Mary, or Maria in various cultures.
  • A. Mari
    Mari is a character in Paulo Coelho's novel "Veronika Decides to Die," portrayed as a fellow patient in the mental institution who struggles with anxiety and societal expectations.
  • B. Mari
    Mari is a Uralic language spoken by the Mari people, primarily in the Mari El Republic of Russia.
  • C. Mari
    Mari is an ancient Mesopotamian city-state on the Euphrates River, renowned for its well-preserved palace complex and thousands of cuneiform tablets that illuminate early Syrian and Mesopotamian history.
  • D. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • E. Marianna
    Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6234e8108190b985270b9ddd1f3a completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfad80f14819097e022c9d9da17eb completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfdd7d3b881909dd8b362802005d8 completed March 21, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69bdfe48ed088190ba1de18bba4e9977 completed March 21, 2026, 2:11 a.m.
Created at: March 20, 2026, 1:14 p.m.