Triple

T35029653
Position Surface form Disambiguated ID Type / Status
Subject Archbishop Peter of Amalfi E1010442 entity
Predicate positionHeld P8 FINISHED
Object Archbishop of Amalfi
The Archbishop of Amalfi is the senior Catholic prelate responsible for overseeing the archdiocese centered in the historic coastal city of Amalfi in southern Italy.
E2122543 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: Archbishop of Amalfi | Statement: [Archbishop Peter of Amalfi, positionHeld, Archbishop of Amalfi]
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: Archbishop of Amalfi
Triple: [Archbishop Peter of Amalfi, positionHeld, Archbishop of Amalfi]
Generated description
The Archbishop of Amalfi is the senior Catholic prelate responsible for overseeing the archdiocese centered in the historic coastal city of Amalfi in southern Italy.

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_69f76dccf0108190af43b465d3750196 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7854569208190a5c3bd8e5f8a8ea3 completed May 3, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37bd272e5c819090dd24e785ebf745 completed June 21, 2026, 10:29 a.m.
NEDg Description generation batch_6a37bda770288190a8b418df4102965a completed June 21, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a37beb690cc8190909845aa686fe2f9 completed June 21, 2026, 10:36 a.m.
Created at: May 3, 2026, 4:01 p.m.