Triple

T35379367

Position	Surface form	Disambiguated ID	Type / Status
Subject	EDD	`E1022601`	entity
Predicate	hadCoPresident	`P126102`	FINISHED
Object	Jens-Peter Bonde Jens-Peter Bonde is a Danish politician and long-serving Member of the European Parliament known for his Eurosceptic stance and leadership in various EU-critical parties and groups.	`E2234664`	NE FINISHED

How this triple was built (3 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: Jens-Peter Bonde | Statement: [EDD, hadCoPresident, Jens-Peter Bonde]

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: Jens-Peter Bonde
Triple: [EDD, hadCoPresident, Jens-Peter Bonde]

Generated description

Jens-Peter Bonde is a Danish politician and long-serving Member of the European Parliament known for his Eurosceptic stance and leadership in various EU-critical parties and groups.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hadCoPresident
Context triple: [EDD, hadCoPresident, Jens-Peter Bonde]

A. hasVicePresidentFor
Indicates that an entity has a specific person or role serving as its vice president for a particular domain, function, or area of responsibility.
B. coPresidencySharedBy chosen
Indicates that the role or office of a co-presidency is jointly held or shared by the specified entities.
C. hadSecretary
Indicates that one entity employed or was served by another entity in the role of a secretary.
D. hasPresident
Indicates that an entity holds the position or role of president for another entity.
E. precededAsVicePresidentBy
Indicates that one entity served as vice president immediately before another entity in a sequence of officeholders.
F. None of above.

Provenance (6 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_69f76df28d8c819089f2c5799fe7d079`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f79533b88c8190934ec4cb21770e24`	completed	May 3, 2026, 6:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40a7d5cf7c8190858a864c14ebb2db`	completed	June 28, 2026, 4:49 a.m.
NEDg	Description generation	`batch_6a40a9675434819092d1606edfa90482`	completed	June 28, 2026, 4:56 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40a9ffe2688190ad8c76e103b9eace`	completed	June 28, 2026, 4:58 a.m.
PD	Predicate disambiguation	`batch_69f79104f5b48190a496cdffde8472da`	completed	May 3, 2026, 6:16 p.m.

Created at: May 3, 2026, 4:03 p.m.