Triple

T6507420
Position Surface form Disambiguated ID Type / Status
Subject Alonso E150045 entity
Predicate hasDiminutive P456 FINISHED
Object Lonso
Lonso is a diminutive form of the given name Alonso, typically used as a familiar or affectionate nickname.
 E601875 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: Lonso | Statement: [Alonso, hasDiminutive, Lonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lonso
Context triple: [Alonso, hasDiminutive, Lonso]
  • A. Baiju
    Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
  • B. Ramolino
    Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
  • C. Marto
    Marto is a writer best known for contributing to the song "Young, Wild & Free."
  • D. Marto
    Marto is a Portuguese surname notably borne by Francisco Marto, one of the child visionaries of the Marian apparitions at Fátima.
  • E. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • 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: Lonso
Triple: [Alonso, hasDiminutive, Lonso]
Generated description
Lonso is a diminutive form of the given name Alonso, typically used as a familiar or affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lonso
Target entity description: Lonso is a diminutive form of the given name Alonso, typically used as a familiar or affectionate nickname.
  • A. Baiju
    Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
  • B. Ramolino
    Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
  • C. Marto
    Marto is a writer best known for contributing to the song "Young, Wild & Free."
  • D. Marto
    Marto is a Portuguese surname notably borne by Francisco Marto, one of the child visionaries of the Marian apparitions at Fátima.
  • E. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6996818c881909d036f916da0efb5 completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb519b8081908db92ab57ad6e871 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cd049fac81908c955caa0ccac5ba completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce00096c8190a3015bcd392e0ce4 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:43 p.m.