Triple

T37767326

Position	Surface form	Disambiguated ID	Type / Status
Subject	Annegret Kramp-Karrenbauer	`E941449`	entity
Predicate	succeededByAsMinisterPresidentOfSaarland	`P202753`	FINISHED
Object	Tobias Hans Tobias Hans is a German politician from the Christian Democratic Union (CDU) who served as Minister-President of the federal state of Saarland.	`E2242566`	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: Tobias Hans | Statement: [Annegret Kramp-Karrenbauer, succeededByAsMinisterPresidentOfSaarland, Tobias Hans]

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: Tobias Hans
Triple: [Annegret Kramp-Karrenbauer, succeededByAsMinisterPresidentOfSaarland, Tobias Hans]

Generated description

Tobias Hans is a German politician from the Christian Democratic Union (CDU) who served as Minister-President of the federal state of Saarland.

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

Target predicate: succeededByAsMinisterPresidentOfSaarland
Context triple: [Annegret Kramp-Karrenbauer, succeededByAsMinisterPresidentOfSaarland, Tobias Hans]

A. precededByAsMinisterPresidentOfSaarland
Indicates that one individual previously held the office of Minister President of Saarland before another individual.
B. endTimeAsMinisterPresidentOfSaarland
Indicates the date and time when an individual’s tenure as Minister President of Saarland comes to an end.
C. succeededBy (as Minister-President of Lower Saxony)
Indicates that one individual later took over the role of Minister-President of Lower Saxony from another individual, becoming their direct successor in that office.
D. succeededByAsChancellor
Indicates that one entity directly followed another in the role or office of chancellor.
E. formerChancellor
Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
F. None of above. chosen

Provenance (7 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_69f76ee3251881909bb4451aad50752b`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_6a00b479c1588190af6e0698b7f8d7f7`	completed	May 10, 2026, 4:38 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40e08792e0819094f569aa8e752154`	completed	June 28, 2026, 8:51 a.m.
NEDg	Description generation	`batch_6a40e18eefc88190ba28efc92a9fc5fa`	completed	June 28, 2026, 8:55 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40e5eb251881909402d2376b2317f2`	completed	June 28, 2026, 9:14 a.m.
PD	Predicate disambiguation	`batch_6a00b4158260819087d0cfad8b18cef4`	completed	May 10, 2026, 4:36 p.m.
PDg	Predicate description generation	`batch_6a00b478c8688190ad08673f420e0e64`	completed	May 10, 2026, 4:38 p.m.

Created at: May 3, 2026, 4:19 p.m.