Triple
T16406062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Bartok |
E398432
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Éva
Éva is a feminine given name of Hungarian origin, notably borne by the actress Eva Bartok.
|
E1213131
|
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: Éva | Statement: [Eva Bartok, givenName, Éva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Éva Context triple: [Eva Bartok, givenName, Éva]
-
A.
Mária
Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
-
B.
Antónia
Antónia is a feminine given name commonly used in various European languages, often as a variant of Antonia.
-
C.
Eniko
Eniko is a small islet located within Majuro Lagoon in the Marshall Islands.
-
D.
Eva König
Eva König is a relatively obscure individual whose name appears in records but for whom no widely known biographical or contextual information is readily available.
-
E.
Eva König
Eva König was the wife of German Enlightenment writer Gotthold Ephraim Lessing and is known primarily through her correspondence with him, which offers insight into his personal life and work.
- 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: Éva Triple: [Eva Bartok, givenName, Éva]
Generated description
Éva is a feminine given name of Hungarian origin, notably borne by the actress Eva Bartok.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Éva Target entity description: Éva is a feminine given name of Hungarian origin, notably borne by the actress Eva Bartok.
-
A.
Mária
Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
-
B.
Antónia
Antónia is a feminine given name commonly used in various European languages, often as a variant of Antonia.
-
C.
Eniko
Eniko is a small islet located within Majuro Lagoon in the Marshall Islands.
-
D.
Eva König
Eva König is a relatively obscure individual whose name appears in records but for whom no widely known biographical or contextual information is readily available.
-
E.
Eva König
Eva König was the wife of German Enlightenment writer Gotthold Ephraim Lessing and is known primarily through her correspondence with him, which offers insight into his personal life and work.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457baed48190b559af7c0ac2711d |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00463166c08190ac408e3f364de81f |
completed | May 10, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00471604f88190b7cc58a77b861585 |
completed | May 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 5:09 a.m.