Triple

T27335501
Position Surface form Disambiguated ID Type / Status
Subject Francisco Garupe E689932 entity
Predicate associatedWith P37 FINISHED
Object Sebastião Rodrigues
Sebastião Rodrigues is a fictional 17th-century Portuguese Jesuit priest and the central protagonist of Shūsaku Endō’s novel "Silence," which explores faith and persecution in Japan.
 E1770443 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: Sebastião Rodrigues | Statement: [Francisco Garupe, associatedWith, Sebastião Rodrigues]
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: Sebastião Rodrigues
Triple: [Francisco Garupe, associatedWith, Sebastião Rodrigues]
Generated description
Sebastião Rodrigues is a fictional 17th-century Portuguese Jesuit priest and the central protagonist of Shūsaku Endō’s novel "Silence," which explores faith and persecution in Japan.

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_69ef355e5b388190a8fc1eba9b4a6656 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62acf2cdc8190bf8f6954dfd648fe completed May 2, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7d082f48190a17c5e415d2b1caf completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a9369fb081909cf7728dcb943585 completed May 24, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12aa0a89b88190ad4e1c5b0e26205b completed May 24, 2026, 7:34 a.m.
Created at: April 27, 2026, 11:40 a.m.