Triple
T31818029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katalin Novák |
E812189
|
entity |
| Predicate | successorAsPresidentOfHungary |
P198965
|
FINISHED |
| Object | Tamás Sulyok |
—
|
NE NERFINISHED |
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: Tamás Sulyok | Statement: [Katalin Novák, successorAsPresidentOfHungary, Tamás Sulyok]
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 (4 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. |
| 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.