Triple

T4630845
Position Surface form Disambiguated ID Type / Status
Subject Carla E101410 entity
Predicate hasDiminutive P456 FINISHED
Object Carlita
Carlita is a feminine given name, commonly used as a diminutive or affectionate form of names like Carla or Carla-related variants in Spanish-speaking contexts.
 E457667 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: Carlita | Statement: [Carla, hasDiminutive, Carlita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carlita
Context triple: [Carla, hasDiminutive, Carlita]
  • A. Clarita
    Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
  • B. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • C. Santa Teresa Cora
    Santa Teresa Cora is a regional dialect of the Cora language spoken by the indigenous Cora people of western Mexico.
  • D. Consuelo
    Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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: Carlita
Triple: [Carla, hasDiminutive, Carlita]
Generated description
Carlita is a feminine given name, commonly used as a diminutive or affectionate form of names like Carla or Carla-related variants in Spanish-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carlita
Target entity description: Carlita is a feminine given name, commonly used as a diminutive or affectionate form of names like Carla or Carla-related variants in Spanish-speaking contexts.
  • A. Clarita
    Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
  • B. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • C. Santa Teresa Cora
    Santa Teresa Cora is a regional dialect of the Cora language spoken by the indigenous Cora people of western Mexico.
  • D. Consuelo
    Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a32d6408190962e60b9bce7560d completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab992148190a1b1dfa33b971d11 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb56021081909b23d22770bf3c88 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbf15f1481908b76bcdd37ebd4ce completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:13 p.m.