Triple

T36767864
Position Surface form Disambiguated ID Type / Status
Subject Giovanni Battista Betancourt E908392 entity
Predicate hasNameForm P19207 FINISHED
Object Giovanni Battista Betancourt
Giovanni Battista Betancourt was a historical figure, likely of Italian or Spanish heritage, whose name appears in archival or scholarly records but about whom little widely known biographical information is readily available.
E263395 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: Giovanni Battista Betancourt | Statement: [Giovanni Battista Betancourt, hasNameForm, Giovanni Battista Betancourt]
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: Giovanni Battista Betancourt
Triple: [Giovanni Battista Betancourt, hasNameForm, Giovanni Battista Betancourt]
Generated description
Giovanni Battista Betancourt was a historical figure, likely of Italian or Spanish heritage, whose name appears in archival or scholarly records but about whom little widely known biographical information is readily available.

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_69f76e786ba481909cdcf6cf6b39dd32 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c9b70f848190a254a868e7741df0 completed May 3, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e1610bdd081909af6c5352fab5068 completed June 26, 2026, 6:02 a.m.
NEDg Description generation batch_6a3e1725b6c88190881d0c7e055e5513 completed June 26, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_6a3e1dfc96388190812391ec86d40bac completed June 26, 2026, 6:36 a.m.
Created at: May 3, 2026, 4:12 p.m.