Triple

T1309179
Position Surface form Disambiguated ID Type / Status
Subject Marie E27948 entity
Predicate hasTypicalDiminutive P456 FINISHED
Object Marita
Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
 E148881 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: Marita | Statement: [Marie, hasTypicalDiminutive, Marita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marita
Context triple: [Marie, hasTypicalDiminutive, Marita]
  • A. Mirta
    Mirta is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • C. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • D. Pilar
    Pilar is a strong-willed, perceptive Spanish guerrilla fighter who plays a central role in Ernest Hemingway’s novel "For Whom the Bell Tolls."
  • E. Pilar
    Pilar is a riverside city in southwestern Paraguay known for its colonial architecture, river port activities, and proximity to the border with Argentina.
  • 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: Marita
Triple: [Marie, hasTypicalDiminutive, Marita]
Generated description
Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marita
Target entity description: Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • A. Mirta
    Mirta is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • C. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • D. Pilar
    Pilar is a strong-willed, perceptive Spanish guerrilla fighter who plays a central role in Ernest Hemingway’s novel "For Whom the Bell Tolls."
  • E. Pilar
    Pilar is a riverside city in southwestern Paraguay known for its colonial architecture, river port activities, and proximity to the border with Argentina.
  • 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.