Triple

T27351497
Position Surface form Disambiguated ID Type / Status
Subject Papal conclave of 1592 E684370 entity
Predicate notableParticipant P6467 FINISHED
Object Enrico Caetani
Enrico Caetani was an Italian cardinal and influential church diplomat of the late 16th century who played a significant role in papal politics and international Catholic affairs.
E1799705 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: Enrico Caetani | Statement: [Papal conclave of 1592, notableParticipant, Enrico Caetani]
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: Enrico Caetani
Triple: [Papal conclave of 1592, notableParticipant, Enrico Caetani]
Generated description
Enrico Caetani was an Italian cardinal and influential church diplomat of the late 16th century who played a significant role in papal politics and international Catholic affairs.

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_69ef1480a76481908684256ddd5bfda3 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62ba76b9881908e2d1e8926243416 completed May 2, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b86d8b308190a373bb8e94e24bad completed May 26, 2026, 3:12 p.m.
NEDg Description generation batch_6a15ba0eed048190aaaf5b9d5045ff5d completed May 26, 2026, 3:19 p.m.
NED2 Entity disambiguation (via description) batch_6a15bb03ba088190bd62a5a9de0115f5 completed May 26, 2026, 3:23 p.m.
Created at: April 27, 2026, 11:48 a.m.