Triple

T8350975
Position Surface form Disambiguated ID Type / Status
Subject Saint Cajetan E196156 entity
Predicate givenName P17 FINISHED
Object Gaetano
Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
 E738293 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: Gaetano | Statement: [Saint Cajetan, givenName, Gaetano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaetano
Context triple: [Saint Cajetan, givenName, Gaetano]
  • A. Giuseppe
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • B. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • C. Giacinto
    Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
  • D. Giovanni
    Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
  • E. Giovanni
    Giovanni is the Italian form of the given name John, widely used in Italy and among Italian-speaking communities.
  • 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: Gaetano
Triple: [Saint Cajetan, givenName, Gaetano]
Generated description
Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaetano
Target entity description: Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
  • A. Giuseppe
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • B. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • C. Giacinto
    Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
  • D. Giovanni
    Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
  • E. Giovanni
    Giovanni was the birth name of Pope Julius III, a 16th-century head of the Catholic Church and ruler of the Papal States.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8019fb308190a3edc744bd473a5b completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d941ca081909cc03949304c5052 completed April 2, 2026, 11:05 a.m.
NEDg Description generation batch_69ce4f556a408190b404481a32b2457b completed April 2, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ce503737a4819083ebf9f410eac826 completed April 2, 2026, 11:17 a.m.
Created at: March 30, 2026, 5:59 p.m.