Triple

T22988762
Position Surface form Disambiguated ID Type / Status
Subject Lord Malmesbury E571988 entity
Predicate positionHeld P8 FINISHED
Object Envoy Extraordinary and Minister Plenipotentiary to the Free City of Bremen LITERAL FINISHED

How this triple was built (1 step)

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: Envoy Extraordinary and Minister Plenipotentiary to the Free City of Bremen | Statement: [Lord Malmesbury, positionHeld, Envoy Extraordinary and Minister Plenipotentiary to the Free City of Bremen]

Provenance (2 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182ea55cc8190b64b722ce8c45b53 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:49 p.m.