Triple

T16572356
Position Surface form Disambiguated ID Type / Status
Subject Caietanus E402618 entity
Predicate hasFeminineForm P1613 FINISHED
Object Caietana
Caietana is a feminine given name of Latin origin, derived from the masculine name Caietanus (Gaetano), historically associated with the Italian town of Gaeta.
 E1221364 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: Caietana | Statement: [Caietanus, hasFeminineForm, Caietana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caietana
Context triple: [Caietanus, hasFeminineForm, Caietana]
  • A. La Ciesca
    La Ciesca is a minor comic character in Giacomo Puccini’s one-act opera "Gianni Schicchi," part of the larger triptych "Il trittico."
  • B. Caja
    Caja is the file manager used in the MATE desktop environment, providing users with tools to browse, organize, and manage their files and folders.
  • C. Nit de lAlba
    Nit de l'Alba is a traditional nighttime fireworks festival in Elche, Spain, celebrated each August with elaborate pyrotechnic displays lighting up the entire city.
  • D. Lebadea
    Lebadea is an ancient town in central Greece, historically known for the Oracle of Trophonius and its location in the region of Boeotia.
  • E. Kindelán
    Kindelán is a Spanish surname most notably associated with figures in military and political history.
  • 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: Caietana
Triple: [Caietanus, hasFeminineForm, Caietana]
Generated description
Caietana is a feminine given name of Latin origin, derived from the masculine name Caietanus (Gaetano), historically associated with the Italian town of Gaeta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caietana
Target entity description: Caietana is a feminine given name of Latin origin, derived from the masculine name Caietanus (Gaetano), historically associated with the Italian town of Gaeta.
  • A. La Ciesca
    La Ciesca is a minor comic character in Giacomo Puccini’s one-act opera "Gianni Schicchi," part of the larger triptych "Il trittico."
  • B. Caja
    Caja is the file manager used in the MATE desktop environment, providing users with tools to browse, organize, and manage their files and folders.
  • C. Nit de lAlba
    Nit de l'Alba is a traditional nighttime fireworks festival in Elche, Spain, celebrated each August with elaborate pyrotechnic displays lighting up the entire city.
  • D. Lebadea
    Lebadea is an ancient town in central Greece, historically known for the Oracle of Trophonius and its location in the region of Boeotia.
  • E. Kindelán
    Kindelán is a Spanish surname most notably associated with figures in military and political history.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35959f1748190934b263d6bc94143 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee8812c81908ef74636bf39d44a completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a0070024cb4819092ee0ce1320f0905 completed May 10, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a00707959a081909fc04947624abbe5 completed May 10, 2026, 11:48 a.m.
Created at: April 10, 2026, 5:16 a.m.