Triple
T2084057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sari |
E45307
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Sári
Sári is a Hungarian given name and surname, often used as a diminutive form of names like Sára.
|
E232348
|
NE FINISHED |
How this triple was built (4 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: Sári | Statement: [Sari, hasSpellingVariant, Sári]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sári Context triple: [Sari, hasSpellingVariant, Sári]
-
A.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
B.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
C.
Sarikoli
Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
-
D.
Serhedi
Serhedi is a regional dialect of Kurmanji Kurdish spoken in parts of the Kurdish-inhabited areas of the Middle East.
-
E.
Kenderes
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sári Triple: [Sari, hasSpellingVariant, Sári]
Generated description
Sári is a Hungarian given name and surname, often used as a diminutive form of names like Sára.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sári Target entity description: Sári is a Hungarian given name and surname, often used as a diminutive form of names like Sára.
-
A.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
B.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
C.
Sarikoli
Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
-
D.
Serhedi
Serhedi is a regional dialect of Kurmanji Kurdish spoken in parts of the Kurdish-inhabited areas of the Middle East.
-
E.
Kenderes
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
- F. None of above. chosen
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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba524b60819089a11957ce6dbc4b |
completed | March 7, 2026, 5:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae273d3f5881909fa6d935fa85c225 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae2a5767388190b16c0d2ce3af647c |
completed | March 9, 2026, 2:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2b5ff1b88190a9754f0e892b6607 |
completed | March 9, 2026, 2:07 a.m. |
Created at: March 4, 2026, 7:41 p.m.