Triple

T31818029

Position	Surface form	Disambiguated ID	Type / Status
Subject	Katalin Novák	`E812189`	entity
Predicate	successorAsPresidentOfHungary	`P198965`	FINISHED
Object	Tamás Sulyok Tamás Sulyok is a Hungarian jurist and politician who became President of Hungary after previously serving as president of the Constitutional Court.	`E1979719`	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: Tamás Sulyok | Statement: [Katalin Novák, successorAsPresidentOfHungary, Tamás Sulyok]

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: Tamás Sulyok
Triple: [Katalin Novák, successorAsPresidentOfHungary, Tamás Sulyok]

Generated description

Tamás Sulyok is a Hungarian jurist and politician who became President of Hungary after previously serving as president of the Constitutional Court.

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

Target predicate: successorAsPresidentOfHungary
Context triple: [Katalin Novák, successorAsPresidentOfHungary, Tamás Sulyok]

A. predecessorAsPresidentOfHungary
Indicates that one person previously held the office of President of Hungary immediately before another person.
B. successorAsKingOfHungary
Indicates that one person became the next king of Hungary following another person in the royal succession.
C. predecessorAsKingOfHungary
Indicates that one person previously held the position of King of Hungary immediately before another person.
D. termEndAsPresidentOfHungary
Indicates the time or event at which an individual's tenure as President of Hungary concludes.
E. successorInAustria
Indicates that one entity directly follows another in a succession or sequence specifically within the context of Austria (e.g., in an office, role, or position).
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_69f348e846c081908eb468a0665afd55`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_69ff17be6ad48190963206f2619b1b28`	completed	May 9, 2026, 11:17 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2e659ab0c481908a4fce2ab11e9da0`	completed	June 14, 2026, 8:26 a.m.
NEDg	Description generation	`batch_6a2e66d85dc481908d7a51e1b0747601`	completed	June 14, 2026, 8:31 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2e678bedb48190b9f7728aa5606420`	completed	June 14, 2026, 8:34 a.m.
PD	Predicate disambiguation	`batch_69ff1724ba24819092c928fcbcb286ec`	completed	May 9, 2026, 11:14 a.m.
PDg	Predicate description generation	`batch_69ff17bda59c8190b27c524f3e01c6df`	completed	May 9, 2026, 11:17 a.m.

Created at: April 30, 2026, 11:45 p.m.