Triple

T35500590
Position Surface form Disambiguated ID Type / Status
Subject Seán MacBride Peace Prize E1025989 entity
Predicate administeredBy P86 FINISHED
Object International Peace Bureau
The International Peace Bureau is a historic global peace organization and Nobel Peace Prize laureate dedicated to disarmament, conflict prevention, and the promotion of nonviolent solutions worldwide.
E265081 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: International Peace Bureau | Statement: [Seán MacBride Peace Prize, administeredBy, International Peace Bureau]
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: International Peace Bureau
Triple: [Seán MacBride Peace Prize, administeredBy, International Peace Bureau]
Generated description
The International Peace Bureau is a historic global peace organization and Nobel Peace Prize laureate dedicated to disarmament, conflict prevention, and the promotion of nonviolent solutions worldwide.

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_69f76dfc9c60819089c4217d93922615 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79769c91c81909c91253e3980c809 completed May 3, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a384a2e8c7481908b0cea5b00a6e057 completed June 21, 2026, 8:31 p.m.
NEDg Description generation batch_6a384b259f888190b7d7e4bc33661ec1 completed June 21, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_6a384bc4f5fc8190a2e28576b9919d9e completed June 21, 2026, 8:38 p.m.
Created at: May 3, 2026, 4:04 p.m.