Triple
T13220237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imre Kertész |
E314732
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Albina Vas
Albina Vas is known as the wife of Hungarian Nobel Prize–winning author Imre Kertész.
|
E1030991
|
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: Albina Vas | Statement: [Imre Kertész, spouse, Albina Vas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albina Vas Context triple: [Imre Kertész, spouse, Albina Vas]
-
A.
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
B.
Antonina
Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
-
C.
Antonina
Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
-
D.
Antonina
Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
-
E.
Elena Milashina
Elena Milashina is a prominent Russian investigative journalist known for her reporting on human rights abuses, particularly in Chechnya, for the independent newspaper Novaya Gazeta.
- 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: Albina Vas Triple: [Imre Kertész, spouse, Albina Vas]
Generated description
Albina Vas is known as the wife of Hungarian Nobel Prize–winning author Imre Kertész.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albina Vas Target entity description: Albina Vas is known as the wife of Hungarian Nobel Prize–winning author Imre Kertész.
-
A.
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
B.
Antonina
Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
-
C.
Antonina
Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
-
D.
Antonina
Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
-
E.
Elena Milashina
Elena Milashina is a prominent Russian investigative journalist known for her reporting on human rights abuses, particularly in Chechnya, for the independent newspaper Novaya Gazeta.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf581508190883033f0c961736a |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a31c8748190a24256a7dd1e346b |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70bc5111c8190ae5b098c806bb845 |
completed | May 3, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ca343f08190b6484f464ed40810 |
completed | May 3, 2026, 8:51 a.m. |
Created at: April 9, 2026, 9:18 p.m.