Triple

T32208927
Position Surface form Disambiguated ID Type / Status
Subject Iglesia de Santa Felicitas E822746 entity
Predicate namedAfter P63 FINISHED
Object Felicitas Guerrero de Alzaga
Felicitas Guerrero de Alzaga was a 19th-century Argentine aristocrat whose tragic life and early death made her a notable figure in Buenos Aires society and the inspiration for the Church of Santa Felicitas.
E2001072 NE FINISHED

How this triple was built (2 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: Felicitas Guerrero de Alzaga | Statement: [Iglesia de Santa Felicitas, namedAfter, Felicitas Guerrero de Alzaga]
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: Felicitas Guerrero de Alzaga
Triple: [Iglesia de Santa Felicitas, namedAfter, Felicitas Guerrero de Alzaga]
Generated description
Felicitas Guerrero de Alzaga was a 19th-century Argentine aristocrat whose tragic life and early death made her a notable figure in Buenos Aires society and the inspiration for the Church of Santa Felicitas.

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_69f3490a3bec819097bc58d4731b9d08 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb90bb908190a7b01f36dc123cf1 completed May 3, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3056f1b8e481908a0d0248c734baf4 completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a30577fbaa88190ba55c619ab7c180b completed June 15, 2026, 7:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3057fbec6081908738d3aa89e2ef68 completed June 15, 2026, 7:52 p.m.
Created at: May 1, 2026, 12:37 a.m.