Triple

T24159480

Position	Surface form	Disambiguated ID	Type / Status
Subject	Convention of Chefoo	`E598789`	entity
Predicate	followsEvent	`P134`	FINISHED
Object	Margary Affair The Margary Affair was an 1875 diplomatic incident in which the murder of British official Augustus Raymond Margary in China sparked a major Anglo-Chinese crisis and led to new unequal treaty arrangements.	`E1621345`	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: Margary Affair | Statement: [Convention of Chefoo, followsEvent, Margary Affair]

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: Margary Affair
Triple: [Convention of Chefoo, followsEvent, Margary Affair]

Generated description

The Margary Affair was an 1875 diplomatic incident in which the murder of British official Augustus Raymond Margary in China sparked a major Anglo-Chinese crisis and led to new unequal treaty arrangements.

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_69e288cb0a3081909ef221744f274384`	completed	April 17, 2026, 7:23 p.m.
NER	Named-entity recognition	`batch_69f1e0e7f8e481909c55ae66bf7b16e9`	completed	April 29, 2026, 10:43 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fad33825c81909fa6f19be6d18ece`	completed	May 22, 2026, 1:11 a.m.
NEDg	Description generation	`batch_6a0fae2d71448190b191a4877c698840`	completed	May 22, 2026, 1:15 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0faf073c088190bbf21e4dd0434fc1`	completed	May 22, 2026, 1:19 a.m.

Created at: April 17, 2026, 11:32 p.m.