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.